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Peter Goos

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First Name:Peter
Middle Name:
Last Name:Goos
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RePEc Short-ID:pgo29
http://www.econ.kuleuven.ac.be/peter.goos/public/
Peter Goos Department of Applied Economics Katholieke Universiteit Leuven 3000 Leuven Belgium

Research output

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Jump to: Working papers Articles

Working papers

  1. VÁZQUEZ-ALCOCER, Alan & GOOS, Peter & SCHOEN, Eric D., 2017. "Projections of definitive screening designs by dropping columns: Selection and evaluation," Working Papers 2017010, University of Antwerp, Faculty of Applied Economics.
  2. Marjolijn De Wilde & Peter Goos, 2017. "The Implementation of Social Policy: A Factorial Survey Approach," Working Papers 1706, Herman Deleeck Centre for Social Policy, University of Antwerp.
  3. ARES, José Núnez & GOOS, Peter, 2016. "An integer linear programming approach to find trend-robust run orders of experimental designs," Working Papers 2016013, University of Antwerp, Faculty of Applied Economics.
  4. CUERVO, Daniel Palhazi & GOOS, Peter & SÖRENSEN, Kenneth, 2016. "An algorithmic framework for generating optimal two-stratum experimental designs," Working Papers 2016003, University of Antwerp, Faculty of Applied Economics.
  5. VO-THANH, Nha & GOOS, Peter & SCHOEN, Eric D., 2016. "Integer programming approaches to find row-column arrangements of two-level orthogonal experimental designs," Working Papers 2016010, University of Antwerp, Faculty of Applied Economics.
  6. VÁZQUEZ-ALCOCER, Alan & GOOS, Peter & SCHOEN, Eric D., 2016. "Two-level designs constructed by concatenating orthogonal arrays of strenght three," Working Papers 2016011, University of Antwerp, Faculty of Applied Economics.
  7. Aiste Ruseckaite & Dennis Fok & Peter Goos, 2016. "Flexible Mixture-Amount Models for Business and Industry using Gaussian Processes," Tinbergen Institute Discussion Papers 16-075/III, Tinbergen Institute.
  8. SCHOEN, Eric D. & VO-THANH, Nha & GOOS, Peter, 2016. "Orthogonal blocking arrangements for 24-run and 28-run two-level designs," Working Papers 2016002, University of Antwerp, Faculty of Applied Economics.
  9. CUERVO, Daniel Palhazi & KESSELS, Roselinde & GOOS, Peter & SÖRENSEN, Kenneth, 2015. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Working Papers 2015004, University of Antwerp, Faculty of Applied Economics.
  10. LUYTEN, Jeroen & DESMET, Pieter & KESSELS, Roselinde & GOOS, Peter & BEUTELS, Philippe, 2015. "The future’s so bright, I gotta wear sunscreen: Dispositional optimism and preferences for prioritizing health care," Working Papers 2015015, University of Antwerp, Faculty of Applied Economics.
  11. SYAFITRI, Utami & SARTONO, Bagus & GOOS, Peter, 2015. "D- and I-optimal design of mixture experiments in the presence of ingredient availability constraints," Working Papers 2015003, University of Antwerp, Faculty of Applied Economics.
  12. SCHOEN, Eric D. & VO-THANH, Nha & GOOS, Peter, 2015. "Two-level orthogonal designs in 24 and 28 runs," Working Papers 2015016, University of Antwerp, Faculty of Applied Economics.
  13. CASTRO, Marco & SÖRENSEN, Kenneth & GOOS, Peter & VANSTEENWEGEN, Pieter, 2014. "The multiple travelling salesperson problem with hotel selection," Working Papers 2014030, University of Antwerp, Faculty of Applied Economics.
  14. Aiste Ruseckaite & Peter Goos & Dennis Fok, 2014. "Bayesian D-Optimal Choice Designs for Mixtures," Tinbergen Institute Discussion Papers 14-057/III, Tinbergen Institute.
  15. LUYTEN, Jeroen & KESSELS, Roselinde & GOOS, Peter & BEUTELS, Philippe, 2013. "Public preferences for prioritizing preventive and curative health care interventions: A discrete choice experiment," Working Papers 2013032, University of Antwerp, Faculty of Applied Economics.
  16. CUERVO, Daniel Palhazi & GOOS, Peter & SÖRENSEN, Kenneth, 2013. "An iterated local search algorithm for the construction of large scale D-optimal experimental designs," Working Papers 2013006, University of Antwerp, Faculty of Applied Economics.
  17. ARNOUTS, Heidi & GOOS, Peter, 2013. "Staggered-level designs for response surface modeling," Working Papers 2013027, University of Antwerp, Faculty of Applied Economics.
  18. KESSELS, Roselinde & JONES, Bradley & GOOS, Peter, 2013. "An argument for preferring Firth bias-adjusted estimates in aggregate and individual-level discrete choice modeling," Working Papers 2013013, University of Antwerp, Faculty of Applied Economics.
  19. CUERVO, Daniel Palhazi & GOOS, Peter & SÖRENSEN, Kenneth & ARRÁIZ, Emely, 2013. "An iterated local search algorithm for the vehicle routing problem with backhauls," Working Papers 2013010, University of Antwerp, Faculty of Applied Economics.
  20. GOOS, Peter & JONES, Bradley & SYAFITRI, Utami, 2013. "I-optimal mixture designs," Working Papers 2013033, University of Antwerp, Faculty of Applied Economics.
  21. KUPFER, Franziska & KESSELS, Roselinde & GOOS, Peter & VAN DE VOORDE, Eddy & VERHETSEL, Ann, 2013. "A discrete choice approach for analysing the airport choice for freighter operations in Europe," Working Papers 2013028, University of Antwerp, Faculty of Applied Economics.
  22. VERHETSEL, Ann & KESSELS, Roselinde & BLOMME, Nele & CANT, Jeroen & GOOS, Peter, 2013. "Location of logistics companies: A stated preference study to disentangle the impact of accessibility," Working Papers 2013024, University of Antwerp, Faculty of Applied Economics.
  23. SARTONO, Bagus & GOOS, Peter & SCHOEN, Eric D., 2012. "Orthogonal blocking of regular and non-regular strength-3 designs," Working Papers 2012026, University of Antwerp, Faculty of Applied Economics.
  24. KESSELS, Roselinde & BRADLEY, Jones & GOOS, Peter, 2012. "A comparison of partial profile designs for discrete choice experiments with an application in software development," Working Papers 2012004, University of Antwerp, Faculty of Applied Economics.
  25. CASTRO, Marco & SÖRENSEN, Kenneth & VANSTEENWEGEN, Pieter & GOOS, Peter, 2012. "A simple GRASP+VND for the travelling salesperson problem with hotel selection," Working Papers 2012024, University of Antwerp, Faculty of Applied Economics.
  26. DUQUE, Pablo A. Maya & COENE, Sofie & GOOS, Peter & SÖRENSEN, Kenneth & SPIEKSMA, Frits, 2012. "The accessibility arc upgrading problem," Working Papers 2012009, University of Antwerp, Faculty of Applied Economics.
  27. JONES, Bradley & GOOS, Peter, 2012. "I-optimal versus D-optimal split-plot response surface designs," Working Papers 2012002, University of Antwerp, Faculty of Applied Economics.
  28. SCHOEN, Eric D. & SARTONO, Bagus & GOOS, Peter, 2012. "Optimal blocking for general resolution-3 designs," Working Papers 2012025, University of Antwerp, Faculty of Applied Economics.
  29. MYLONA, Kalliopi & MACHARIA, Harrison & GOOS, Peter, 2011. "Three-level equivalent-estimation split-plot designs based on subset and supplementary difference set designs," Working Papers 2011010, University of Antwerp, Faculty of Applied Economics.
  30. MACHARIA, Harrison & GOOS, Peter, 2010. "D-optimal and D-efficient equivalent-estimation second-order split-plot designs," Working Papers 2010011, University of Antwerp, Faculty of Applied Economics.
  31. SCHOEN, Eric D. & JONES, Bradley & GOOS, Peter, 2010. "Split-plot experiments with factor-dependent whole-plot sizes," Working Papers 2010001, University of Antwerp, Faculty of Applied Economics.
  32. SARTONO, Bagus & GOOS, Peter & SCHOEN, Eric D., 2010. "Classification of strength-three multi-level orthogonal arrays," Working Papers 2010026, University of Antwerp, Faculty of Applied Economics.
  33. GOOS, Peter & GILMOUR, Steven G., 2010. "Analyzing categorical data from split-plot and other multi-stratum experiments," Working Papers 2010021, University of Antwerp, Faculty of Applied Economics.
  34. DE KETELAERE, Bart & GOOS, Peter & BRIJS, Kristof, 2010. "Prespecified factor-level combinations in the optimal design of mixture-process variable experiments," Working Papers 2011001, University of Antwerp, Faculty of Applied Economics.
  35. MAYA, Pablo & SÖRENSEN, Kenneth & GOOS, Peter, 2009. "A metaheuristic for a teaching assistant assignment-routing problem," Working Papers 2009011, University of Antwerp, Faculty of Applied Economics.
  36. ARNOUTS, Heidi & GOOS, Peter, 2009. "Design and analysis of industrial strip-plot experiments," Working Papers 2009007, University of Antwerp, Faculty of Applied Economics.
  37. GOOS, Peter & VERMEULEN, Bart & VANDEBROEK, Martina, 2008. "D-optimal conjoint choice designs with no-choice options for a nested logit model," Working Papers 2008020, University of Antwerp, Faculty of Applied Economics.
  38. ARNOUTS, Heidi & GOOS, Peter, 2008. "Update formulas for split-plot and block designs," Working Papers 2008022, University of Antwerp, Faculty of Applied Economics.
  39. SALEHIPOUR, Amir & SÖRENSEN, Kenneth & GOOS, Peter & BRÄYSY, Olli, 2008. "An efficient GRASP+VND metaheuristic for the traveling repairman problem," Working Papers 2008008, University of Antwerp, Faculty of Applied Economics.
  40. ARNOUTS, Heidi & GOOS, Peter, 2008. "Staggered designs for experiments with more than one hard-to-change factor," Working Papers 2008018, University of Antwerp, Faculty of Applied Economics.
  41. BRADLEY, Jones & GOOS, Peter, 2007. "D-optimal design of split-split-plot experiments," Working Papers 2007017, University of Antwerp, Faculty of Applied Economics.
  42. GARROI, Jean-Jacques & GOOS, Peter & SÖRENSEN, Kenneth, 2006. "A variable-neighbourhood search algorithm for finding optimal run orders in the presence of serial correlation and time trends," Working Papers 2006026, University of Antwerp, Faculty of Applied Economics.
  43. GILMOUR, Steven G. & GOOS, Peter, 2006. "Analysis of data from nonorthogonal multi-stratum designs," Working Papers 2006005, University of Antwerp, Faculty of Applied Economics.
  44. GOOS, Peter, "undated". "The usefulness of optimal design for generating blocked and split-plot response surface experiments," Working Papers 2005033, University of Antwerp, Faculty of Applied Economics.
  45. JONES, Bradley & GOOS, Peter, "undated". "A candidate-set-free algorithm for generating D-optimal split-plot designs," Working Papers 2006006, University of Antwerp, Faculty of Applied Economics.

Articles

  1. Eric D. Schoen & Nha Vo-Thanh & Peter Goos, 2017. "Two-Level Orthogonal Screening Designs With 24, 28, 32, and 36 Runs," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1354-1369, July.
  2. Aiste Ruseckaite & Peter Goos & Dennis Fok, 2017. "Bayesian D-optimal choice designs for mixtures," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(2), pages 363-386, February.
  3. Palhazi Cuervo, Daniel & Goos, Peter & Sörensen, Kenneth, 2017. "An algorithmic framework for generating optimal two-stratum experimental designs," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 224-249.
  4. Kupfer, Franziska & Kessels, Roselinde & Goos, Peter & Van de Voorde, Eddy & Verhetsel, Ann, 2016. "The origin–destination airport choice for all-cargo aircraft operations in Europe," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 53-74.
  5. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
  6. Peter Goos & Bradley Jones & Utami Syafitri, 2016. "I-Optimal Design of Mixture Experiments," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(514), pages 899-911, April.
  7. Maya Duque, P.A. & Castro, M. & Sörensen, K. & Goos, P., 2015. "Home care service planning. The case of Landelijke Thuiszorg," European Journal of Operational Research, Elsevier, vol. 243(1), pages 292-301.
  8. Palhazi Cuervo, Daniel & Goos, Peter & Sörensen, Kenneth & Arráiz, Emely, 2014. "An iterated local search algorithm for the vehicle routing problem with backhauls," European Journal of Operational Research, Elsevier, vol. 237(2), pages 454-464.
  9. Maya Duque, Pablo A. & Coene, Sofie & Goos, Peter & Sörensen, Kenneth & Spieksma, Frits, 2013. "The accessibility arc upgrading problem," European Journal of Operational Research, Elsevier, vol. 224(3), pages 458-465.
  10. Kalliopi Mylona & Harrison Macharia & Peter Goos, 2013. "Three-level equivalent-estimation split-plot designs based on subset and supplementary difference set designs," IISE Transactions, Taylor & Francis Journals, vol. 45(11), pages 1153-1165.
  11. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2011. "Individually adapted sequential Bayesian conjoint-choice designs in the presence of consumer heterogeneity," International Journal of Research in Marketing, Elsevier, vol. 28(4), pages 378-388.
  12. Bart Vermeulen & Peter Goos & Riccardo Scarpa & Martina Vandebroek, 2011. "Bayesian Conjoint Choice Designs for Measuring Willingness to Pay," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(1), pages 129-149, January.
  13. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2010. "Comparing different sampling schemes for approximating the integrals involved in the efficient design of stated choice experiments," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1268-1289, December.
  14. Arnouts, Heidi & Goos, Peter, 2010. "Update formulas for split-plot and block designs," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3381-3391, December.
  15. Vermeulen, Bart & Goos, Peter & Vandebroek, Martina, 2010. "Obtaining more information from conjoint experiments by best-worst choices," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1426-1433, June.
  16. Jie Yu & Peter Goos & Martina Vandebroek, 2009. "Efficient Conjoint Choice Designs in the Presence of Respondent Heterogeneity," Marketing Science, INFORMS, vol. 28(1), pages 122-135, 01-02.
  17. Bradley Jones & Peter Goos, 2009. "D-optimal design of split-split-plot experiments," Biometrika, Biometrika Trust, vol. 96(1), pages 67-82.
  18. Steven G. Gilmour & Peter Goos, 2009. "Analysis of data from non-orthogonal multistratum designs in industrial experiments," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(4), pages 467-484.
  19. Kessels, Roselinde & Jones, Bradley & Goos, Peter & Vandebroek, Martina, 2009. "An Efficient Algorithm for Constructing Bayesian Optimal Choice Designs," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(2), pages 279-291.
  20. Kessels, Roselinde & Goos, Peter & Vandebroek, Martina, 2008. "Optimal designs for conjoint experiments," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2369-2387, January.
  21. Vermeulen, Bart & Goos, Peter & Vandebroek, Martina, 2008. "Models and optimal designs for conjoint choice experiments including a no-choice option," International Journal of Research in Marketing, Elsevier, vol. 25(2), pages 94-103.
  22. Bradley Jones & Peter Goos, 2007. "A candidate-set-free algorithm for generating "D"-optimal split-plot designs," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 56(3), pages 347-364.
  23. Peter Goos & Alexander Donev, 2007. "$$\mathcal{D}$$ -optimal Minimum Support Mixture Designs in Blocks," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 65(1), pages 53-68, February.
  24. Goos, P. & Donev, A.N., 2006. "Blocking response surface designs," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1075-1088, November.
  25. Peter Goos, 2006. "Optimal versus orthogonal and equivalent-estimation design of blocked and split-plot experiments," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 60(3), pages 361-378.
  26. Goos, Peter & Kobilinsky, Andre & O'Brien, Timothy E. & Vandebroek, Martina, 2005. "Model-robust and model-sensitive designs," Computational Statistics & Data Analysis, Elsevier, vol. 49(1), pages 201-216, April.
  27. P. Goos & M. Vandebroek, 2002. "How to Design Nighly Informative and Cost-Efficient Industrial Experimemts," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business, Review of Business and Economic Literature, vol. 0(4), pages 537-556.
  28. Goos, Peter & Vandebroek, Martina, 2001. "-optimal response surface designs in the presence of random block effects," Computational Statistics & Data Analysis, Elsevier, vol. 37(4), pages 433-453, October.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Bart Vermeulen & Peter Goos & Riccardo Scarpa & Martina Vandebroek, 2011. "Bayesian Conjoint Choice Designs for Measuring Willingness to Pay," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(1), pages 129-149, January.

    Mentioned in:

    1. > Environmental and Natural Resource Economics > Environmental Economics > Valuation > Choice experiments and conjoint analyses

Working papers

  1. CUERVO, Daniel Palhazi & KESSELS, Roselinde & GOOS, Peter & SÖRENSEN, Kenneth, 2015. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Working Papers 2015004, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. Kessels, Roselinde, 2016. "Homogeneous versus heterogeneous designs for stated choice experiments: Ain't homogeneous designs all bad?," Journal of choice modelling, Elsevier, vol. 21(C), pages 2-9.

  2. SYAFITRI, Utami & SARTONO, Bagus & GOOS, Peter, 2015. "D- and I-optimal design of mixture experiments in the presence of ingredient availability constraints," Working Papers 2015003, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. VÁZQUEZ-ALCOCER, Alan & GOOS, Peter & SCHOEN, Eric D., 2016. "Two-level designs constructed by concatenating orthogonal arrays of strenght three," Working Papers 2016011, University of Antwerp, Faculty of Applied Economics.
    2. VÁZQUEZ-ALCOCER, Alan & XU, Hongquan, 2018. "Construction of two-level nonregular designs of strength three with large run sizes," Working Papers 2018003, University of Antwerp, Faculty of Applied Economics.

  3. SCHOEN, Eric D. & VO-THANH, Nha & GOOS, Peter, 2015. "Two-level orthogonal designs in 24 and 28 runs," Working Papers 2015016, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. SCHOEN, Eric D. & VO-THANH, Nha & GOOS, Peter, 2016. "Orthogonal blocking arrangements for 24-run and 28-run two-level designs," Working Papers 2016002, University of Antwerp, Faculty of Applied Economics.
    2. VÁZQUEZ-ALCOCER, Alan & GOOS, Peter & SCHOEN, Eric D., 2016. "Two-level designs constructed by concatenating orthogonal arrays of strenght three," Working Papers 2016011, University of Antwerp, Faculty of Applied Economics.

  4. CASTRO, Marco & SÖRENSEN, Kenneth & GOOS, Peter & VANSTEENWEGEN, Pieter, 2014. "The multiple travelling salesperson problem with hotel selection," Working Papers 2014030, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. Gabriel Bazi & John Khoury & F. Jordan Srour, 2017. "Integrating Data Collection Optimization into Pavement Management Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(3), pages 135-146, June.

  5. LUYTEN, Jeroen & KESSELS, Roselinde & GOOS, Peter & BEUTELS, Philippe, 2013. "Public preferences for prioritizing preventive and curative health care interventions: A discrete choice experiment," Working Papers 2013032, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. Vanoutrive, Thomas & Zijlstra, Toon, 2018. "Who has the right to travel during peak hours? On congestion pricing and ‘desirable’ travellers," Transport Policy, Elsevier, vol. 63(C), pages 98-107.
    2. LUYTEN, Jeroen & DESMET, Pieter & KESSELS, Roselinde & GOOS, Peter & BEUTELS, Philippe, 2015. "The future’s so bright, I gotta wear sunscreen: Dispositional optimism and preferences for prioritizing health care," Working Papers 2015015, University of Antwerp, Faculty of Applied Economics.
    3. Fraeyman, Jessica & Symons, Linda & De Loof, Hans & De Meyer, Guido R.Y. & Remmen, Roy & Beutels, Philippe & Van Hal, Guido, 2015. "Medicine price awareness in chronic patients in Belgium," Health Policy, Elsevier, vol. 119(2), pages 217-223.

  6. KESSELS, Roselinde & JONES, Bradley & GOOS, Peter, 2013. "An argument for preferring Firth bias-adjusted estimates in aggregate and individual-level discrete choice modeling," Working Papers 2013013, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. KUPFER, Franziska & KESSELS, Roselinde & GOOS, Peter & VAN DE VOORDE, Eddy & VERHETSEL, Ann, 2013. "A discrete choice approach for analysing the airport choice for freighter operations in Europe," Working Papers 2013028, University of Antwerp, Faculty of Applied Economics.
    2. Kupfer, Franziska & Kessels, Roselinde & Goos, Peter & Van de Voorde, Eddy & Verhetsel, Ann, 2016. "The origin–destination airport choice for all-cargo aircraft operations in Europe," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 53-74.

  7. CUERVO, Daniel Palhazi & GOOS, Peter & SÖRENSEN, Kenneth & ARRÁIZ, Emely, 2013. "An iterated local search algorithm for the vehicle routing problem with backhauls," Working Papers 2013010, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. Dominguez, Oscar & Guimarans, Daniel & Juan, Angel A. & de la Nuez, Ignacio, 2016. "A Biased-Randomised Large Neighbourhood Search for the two-dimensional Vehicle Routing Problem with Backhauls," European Journal of Operational Research, Elsevier, vol. 255(2), pages 442-462.
    2. VANOVERMEIRE, Christine & CUERVO, Daniel Palhazi & SÖRENSEN, Kenneth, 2013. "Estimating collaborative profits under varying partner characteristics and strategies," Working Papers 2013031, University of Antwerp, Faculty of Applied Economics.
    3. José Brandão, 2016. "A deterministic iterated local search algorithm for the vehicle routing problem with backhauls," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 24(2), pages 445-465, July.
    4. Huber, Sandra & Geiger, Martin Josef, 2017. "Order matters – A Variable Neighborhood Search for the Swap-Body Vehicle Routing Problem," European Journal of Operational Research, Elsevier, vol. 263(2), pages 419-445.
    5. CASTRO, Marco & SÖRENSEN, Kenneth & GOOS, Peter & VANSTEENWEGEN, Pieter, 2014. "The multiple travelling salesperson problem with hotel selection," Working Papers 2014030, University of Antwerp, Faculty of Applied Economics.

  8. GOOS, Peter & JONES, Bradley & SYAFITRI, Utami, 2013. "I-optimal mixture designs," Working Papers 2013033, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. SYAFITRI, Utami & SARTONO, Bagus & GOOS, Peter, 2015. "D- and I-optimal design of mixture experiments in the presence of ingredient availability constraints," Working Papers 2015003, University of Antwerp, Faculty of Applied Economics.

  9. KUPFER, Franziska & KESSELS, Roselinde & GOOS, Peter & VAN DE VOORDE, Eddy & VERHETSEL, Ann, 2013. "A discrete choice approach for analysing the airport choice for freighter operations in Europe," Working Papers 2013028, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.

  10. VERHETSEL, Ann & KESSELS, Roselinde & BLOMME, Nele & CANT, Jeroen & GOOS, Peter, 2013. "Location of logistics companies: A stated preference study to disentangle the impact of accessibility," Working Papers 2013024, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
    2. Holl, Adelheid & Mariotti, Ilaria, 2016. "The geography of logistics firm location: the role of accessibility," Working Papers 16_2, SIET Società Italiana di Economia dei Trasporti e della Logistica.

  11. KESSELS, Roselinde & BRADLEY, Jones & GOOS, Peter, 2012. "A comparison of partial profile designs for discrete choice experiments with an application in software development," Working Papers 2012004, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. VERHETSEL, Ann & KESSELS, Roselinde & BLOMME, Nele & CANT, Jeroen & GOOS, Peter, 2013. "Location of logistics companies: A stated preference study to disentangle the impact of accessibility," Working Papers 2013024, University of Antwerp, Faculty of Applied Economics.
    2. KUPFER, Franziska & KESSELS, Roselinde & GOOS, Peter & VAN DE VOORDE, Eddy & VERHETSEL, Ann, 2013. "A discrete choice approach for analysing the airport choice for freighter operations in Europe," Working Papers 2013028, University of Antwerp, Faculty of Applied Economics.
    3. LUYTEN, Jeroen & KESSELS, Roselinde & GOOS, Peter & BEUTELS, Philippe, 2013. "Public preferences for prioritizing preventive and curative health care interventions: A discrete choice experiment," Working Papers 2013032, University of Antwerp, Faculty of Applied Economics.

  12. DUQUE, Pablo A. Maya & COENE, Sofie & GOOS, Peter & SÖRENSEN, Kenneth & SPIEKSMA, Frits, 2012. "The accessibility arc upgrading problem," Working Papers 2012009, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. Yücel, E. & Salman, F.S. & Arsik, I., 2018. "Improving post-disaster road network accessibility by strengthening links against failures," European Journal of Operational Research, Elsevier, vol. 269(2), pages 406-422.
    2. Maya Duque, Pablo A. & Dolinskaya, Irina S. & Sörensen, Kenneth, 2016. "Network repair crew scheduling and routing for emergency relief distribution problem," European Journal of Operational Research, Elsevier, vol. 248(1), pages 272-285.

  13. JONES, Bradley & GOOS, Peter, 2012. "I-optimal versus D-optimal split-plot response surface designs," Working Papers 2012002, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. GOOS, Peter & JONES, Bradley & SYAFITRI, Utami, 2013. "I-optimal mixture designs," Working Papers 2013033, University of Antwerp, Faculty of Applied Economics.
    2. ARNOUTS, Heidi & GOOS, Peter, 2013. "Staggered-level designs for response surface modeling," Working Papers 2013027, University of Antwerp, Faculty of Applied Economics.
    3. Marcin Dutka & Mario Ditaranto & Terese Løvås, 2015. "Application of a Central Composite Design for the Study of NO x Emission Performance of a Low NO x Burner," Energies, MDPI, Open Access Journal, vol. 8(5), pages 1-22, April.
    4. SYAFITRI, Utami & SARTONO, Bagus & GOOS, Peter, 2015. "D- and I-optimal design of mixture experiments in the presence of ingredient availability constraints," Working Papers 2015003, University of Antwerp, Faculty of Applied Economics.

  14. SCHOEN, Eric D. & SARTONO, Bagus & GOOS, Peter, 2012. "Optimal blocking for general resolution-3 designs," Working Papers 2012025, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. SCHOEN, Eric D. & VO-THANH, Nha & GOOS, Peter, 2016. "Orthogonal blocking arrangements for 24-run and 28-run two-level designs," Working Papers 2016002, University of Antwerp, Faculty of Applied Economics.
    2. VO-THANH, Nha & GOOS, Peter & SCHOEN, Eric D., 2016. "Integer programming approaches to find row-column arrangements of two-level orthogonal experimental designs," Working Papers 2016010, University of Antwerp, Faculty of Applied Economics.

  15. MACHARIA, Harrison & GOOS, Peter, 2010. "D-optimal and D-efficient equivalent-estimation second-order split-plot designs," Working Papers 2010011, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. Sambo, Francesco & Borrotti, Matteo & Mylona, Kalliopi, 2014. "A coordinate-exchange two-phase local search algorithm for the D- and I-optimal designs of split-plot experiments," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1193-1207.
    2. MYLONA, Kalliopi & MACHARIA, Harrison & GOOS, Peter, 2011. "Three-level equivalent-estimation split-plot designs based on subset and supplementary difference set designs," Working Papers 2011010, University of Antwerp, Faculty of Applied Economics.
    3. ARNOUTS, Heidi & GOOS, Peter, 2013. "Staggered-level designs for response surface modeling," Working Papers 2013027, University of Antwerp, Faculty of Applied Economics.
    4. JONES, Bradley & GOOS, Peter, 2012. "I-optimal versus D-optimal split-plot response surface designs," Working Papers 2012002, University of Antwerp, Faculty of Applied Economics.

  16. SCHOEN, Eric D. & JONES, Bradley & GOOS, Peter, 2010. "Split-plot experiments with factor-dependent whole-plot sizes," Working Papers 2010001, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. Sambo, Francesco & Borrotti, Matteo & Mylona, Kalliopi, 2014. "A coordinate-exchange two-phase local search algorithm for the D- and I-optimal designs of split-plot experiments," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1193-1207.
    2. JONES, Bradley & GOOS, Peter, 2012. "I-optimal versus D-optimal split-plot response surface designs," Working Papers 2012002, University of Antwerp, Faculty of Applied Economics.

  17. DE KETELAERE, Bart & GOOS, Peter & BRIJS, Kristof, 2010. "Prespecified factor-level combinations in the optimal design of mixture-process variable experiments," Working Papers 2011001, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. SYAFITRI, Utami & SARTONO, Bagus & GOOS, Peter, 2015. "D- and I-optimal design of mixture experiments in the presence of ingredient availability constraints," Working Papers 2015003, University of Antwerp, Faculty of Applied Economics.

  18. GOOS, Peter & VERMEULEN, Bart & VANDEBROEK, Martina, 2008. "D-optimal conjoint choice designs with no-choice options for a nested logit model," Working Papers 2008020, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. Vermeulen, Bart & Goos, Peter & Vandebroek, Martina, 2008. "Models and optimal designs for conjoint choice experiments including a no-choice option," International Journal of Research in Marketing, Elsevier, vol. 25(2), pages 94-103.

  19. ARNOUTS, Heidi & GOOS, Peter, 2008. "Update formulas for split-plot and block designs," Working Papers 2008022, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. Smucker, Byran J. & Castillo, Enrique del & Rosenberger, James L., 2012. "Model-robust designs for split-plot experiments," Computational Statistics & Data Analysis, Elsevier, vol. 56(12), pages 4111-4121.
    2. SYAFITRI, Utami & SARTONO, Bagus & GOOS, Peter, 2015. "D- and I-optimal design of mixture experiments in the presence of ingredient availability constraints," Working Papers 2015003, University of Antwerp, Faculty of Applied Economics.
    3. CUERVO, Daniel Palhazi & GOOS, Peter & SÖRENSEN, Kenneth, 2013. "An iterated local search algorithm for the construction of large scale D-optimal experimental designs," Working Papers 2013006, University of Antwerp, Faculty of Applied Economics.
    4. JONES, Bradley & GOOS, Peter, 2012. "I-optimal versus D-optimal split-plot response surface designs," Working Papers 2012002, University of Antwerp, Faculty of Applied Economics.

  20. SALEHIPOUR, Amir & SÖRENSEN, Kenneth & GOOS, Peter & BRÄYSY, Olli, 2008. "An efficient GRASP+VND metaheuristic for the traveling repairman problem," Working Papers 2008008, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. Samuel Nucamendi-Guillén & Iris Martínez-Salazar & Francisco Angel-Bello & J Marcos Moreno-Vega, 2016. "A mixed integer formulation and an efficient metaheuristic procedure for the k-Travelling Repairmen Problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(8), pages 1121-1134, August.
    2. Juan Rivera & H. Afsar & Christian Prins, 2015. "A multistart iterated local search for the multitrip cumulative capacitated vehicle routing problem," Computational Optimization and Applications, Springer, vol. 61(1), pages 159-187, May.
    3. Yu, Mingzhu & Qi, Xiangtong, 2014. "A vehicle routing problem with multiple overlapped batches," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 40-55.
    4. Zhang, Zizhen & Qin, Hu & Zhu, Wenbin & Lim, Andrew, 2012. "The single vehicle routing problem with toll-by-weight scheme: A branch-and-bound approach," European Journal of Operational Research, Elsevier, vol. 220(2), pages 295-304.
    5. Rivera, Juan Carlos & Murat Afsar, H. & Prins, Christian, 2016. "Mathematical formulations and exact algorithm for the multitrip cumulative capacitated single-vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 249(1), pages 93-104.

  21. ARNOUTS, Heidi & GOOS, Peter, 2008. "Staggered designs for experiments with more than one hard-to-change factor," Working Papers 2008018, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. ARNOUTS, Heidi & GOOS, Peter, 2013. "Staggered-level designs for response surface modeling," Working Papers 2013027, University of Antwerp, Faculty of Applied Economics.

  22. BRADLEY, Jones & GOOS, Peter, 2007. "D-optimal design of split-split-plot experiments," Working Papers 2007017, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. ARNOUTS, Heidi & GOOS, Peter, 2013. "Staggered-level designs for response surface modeling," Working Papers 2013027, University of Antwerp, Faculty of Applied Economics.
    2. ARNOUTS, Heidi & GOOS, Peter, 2009. "Design and analysis of industrial strip-plot experiments," Working Papers 2009007, University of Antwerp, Faculty of Applied Economics.
    3. Loeza-Serrano, S. & Donev, A.N., 2014. "Construction of experimental designs for estimating variance components," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1168-1177.
    4. CUERVO, Daniel Palhazi & GOOS, Peter & SÖRENSEN, Kenneth, 2016. "An algorithmic framework for generating optimal two-stratum experimental designs," Working Papers 2016003, University of Antwerp, Faculty of Applied Economics.

  23. GARROI, Jean-Jacques & GOOS, Peter & SÖRENSEN, Kenneth, 2006. "A variable-neighbourhood search algorithm for finding optimal run orders in the presence of serial correlation and time trends," Working Papers 2006026, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. SYAFITRI, Utami & SARTONO, Bagus & GOOS, Peter, 2015. "D- and I-optimal design of mixture experiments in the presence of ingredient availability constraints," Working Papers 2015003, University of Antwerp, Faculty of Applied Economics.
    2. VÁZQUEZ-ALCOCER, Alan & GOOS, Peter & SCHOEN, Eric D., 2016. "Two-level designs constructed by concatenating orthogonal arrays of strenght three," Working Papers 2016011, University of Antwerp, Faculty of Applied Economics.

  24. GOOS, Peter, "undated". "The usefulness of optimal design for generating blocked and split-plot response surface experiments," Working Papers 2005033, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. Bradley Jones & Peter Goos, 2009. "D-optimal design of split-split-plot experiments," Biometrika, Biometrika Trust, vol. 96(1), pages 67-82.

  25. JONES, Bradley & GOOS, Peter, "undated". "A candidate-set-free algorithm for generating D-optimal split-plot designs," Working Papers 2006006, University of Antwerp, Faculty of Applied Economics.

    Cited by:

    1. Sambo, Francesco & Borrotti, Matteo & Mylona, Kalliopi, 2014. "A coordinate-exchange two-phase local search algorithm for the D- and I-optimal designs of split-plot experiments," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1193-1207.
    2. Bradley Jones & Peter Goos, 2009. "D-optimal design of split-split-plot experiments," Biometrika, Biometrika Trust, vol. 96(1), pages 67-82.
    3. Arnouts, Heidi & Goos, Peter, 2010. "Update formulas for split-plot and block designs," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3381-3391, December.
    4. Smucker, Byran J. & Castillo, Enrique del & Rosenberger, James L., 2012. "Model-robust designs for split-plot experiments," Computational Statistics & Data Analysis, Elsevier, vol. 56(12), pages 4111-4121.
    5. MYLONA, Kalliopi & MACHARIA, Harrison & GOOS, Peter, 2011. "Three-level equivalent-estimation split-plot designs based on subset and supplementary difference set designs," Working Papers 2011010, University of Antwerp, Faculty of Applied Economics.
    6. ARNOUTS, Heidi & GOOS, Peter, 2013. "Staggered-level designs for response surface modeling," Working Papers 2013027, University of Antwerp, Faculty of Applied Economics.
    7. ARNOUTS, Heidi & GOOS, Peter, 2009. "Design and analysis of industrial strip-plot experiments," Working Papers 2009007, University of Antwerp, Faculty of Applied Economics.
    8. SCHOEN, Eric D. & JONES, Bradley & GOOS, Peter, 2010. "Split-plot experiments with factor-dependent whole-plot sizes," Working Papers 2010001, University of Antwerp, Faculty of Applied Economics.
    9. CUERVO, Daniel Palhazi & GOOS, Peter & SÖRENSEN, Kenneth, 2016. "An algorithmic framework for generating optimal two-stratum experimental designs," Working Papers 2016003, University of Antwerp, Faculty of Applied Economics.
    10. Moein Saleh & Ming-Hung Kao & Rong Pan, 2017. "Design D-optimal event-related functional magnetic resonance imaging experiments," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(1), pages 73-91, January.
    11. JONES, Bradley & GOOS, Peter, 2012. "I-optimal versus D-optimal split-plot response surface designs," Working Papers 2012002, University of Antwerp, Faculty of Applied Economics.

Articles

  1. Eric D. Schoen & Nha Vo-Thanh & Peter Goos, 2017. "Two-Level Orthogonal Screening Designs With 24, 28, 32, and 36 Runs," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1354-1369, July.

    Cited by:

    1. VÁZQUEZ-ALCOCER, Alan & SCHOEN, Eric D. & GOOS, Peter, 2018. "A mixed integer optimization approach for model selection in screening experiments," Working Papers 2018007, University of Antwerp, Faculty of Applied Economics.

  2. Kupfer, Franziska & Kessels, Roselinde & Goos, Peter & Van de Voorde, Eddy & Verhetsel, Ann, 2016. "The origin–destination airport choice for all-cargo aircraft operations in Europe," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 53-74.

    Cited by:

    1. Kessels, Roselinde, 2016. "Homogeneous versus heterogeneous designs for stated choice experiments: Ain't homogeneous designs all bad?," Journal of choice modelling, Elsevier, vol. 21(C), pages 2-9.
    2. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
    3. Budd, Lucy & Ison, Stephen, 2017. "The role of dedicated freighter aircraft in the provision of global airfreight services," Journal of Air Transport Management, Elsevier, vol. 61(C), pages 34-40.
    4. Zhang, Canrong & Xie, Fanrui & Huang, Kun & Wu, Tao & Liang, Zhe, 2017. "MIP models and a hybrid method for the capacitated air-cargo network planning and scheduling problems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 158-173.

  3. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
    See citations under working paper version above.
  4. Maya Duque, P.A. & Castro, M. & Sörensen, K. & Goos, P., 2015. "Home care service planning. The case of Landelijke Thuiszorg," European Journal of Operational Research, Elsevier, vol. 243(1), pages 292-301.

    Cited by:

    1. Braekers, Kris & Hartl, Richard F. & Parragh, Sophie N. & Tricoire, Fabien, 2016. "A bi-objective home care scheduling problem: Analyzing the trade-off between costs and client inconvenience," European Journal of Operational Research, Elsevier, vol. 248(2), pages 428-443.
    2. Gang Du & Xi Liang & Chuanwang Sun, 2017. "Scheduling Optimization of Home Health Care Service Considering Patients’ Priorities and Time Windows," Sustainability, MDPI, Open Access Journal, vol. 9(2), pages 1-22, February.
    3. Biao Yuan & Zhibin Jiang, 2017. "Disruption Management for the Real-Time Home Caregiver Scheduling and Routing Problem," Sustainability, MDPI, Open Access Journal, vol. 9(12), pages 1-15, November.

  5. Palhazi Cuervo, Daniel & Goos, Peter & Sörensen, Kenneth & Arráiz, Emely, 2014. "An iterated local search algorithm for the vehicle routing problem with backhauls," European Journal of Operational Research, Elsevier, vol. 237(2), pages 454-464.
    See citations under working paper version above.
  6. Maya Duque, Pablo A. & Coene, Sofie & Goos, Peter & Sörensen, Kenneth & Spieksma, Frits, 2013. "The accessibility arc upgrading problem," European Journal of Operational Research, Elsevier, vol. 224(3), pages 458-465.
    See citations under working paper version above.
  7. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2011. "Individually adapted sequential Bayesian conjoint-choice designs in the presence of consumer heterogeneity," International Journal of Research in Marketing, Elsevier, vol. 28(4), pages 378-388.

    Cited by:

    1. Kessels, Roselinde, 2016. "Homogeneous versus heterogeneous designs for stated choice experiments: Ain't homogeneous designs all bad?," Journal of choice modelling, Elsevier, vol. 21(C), pages 2-9.
    2. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    3. Crabbe, Marjolein & Akinc, Deniz & Vandebroek, Martina, 2014. "Fast algorithms to generate individualized designs for the mixed logit choice model," Transportation Research Part B: Methodological, Elsevier, vol. 60(C), pages 1-15.
    4. Vishva Danthurebandara & Jie Yu & Martina Vandebroek, 2011. "Sequential choice designs to estimate the heterogeneity distribution of willingness-to-pay," Quantitative Marketing and Economics (QME), Springer, vol. 9(4), pages 429-448, December.
    5. Crabbe, M. & Vandebroek, M., 2012. "Improving the efficiency of individualized designs for the mixed logit choice model by including covariates," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 2059-2072.
    6. van Cranenburgh, Sander & Rose, John M. & Chorus, Caspar G., 2018. "On the robustness of efficient experimental designs towards the underlying decision rule," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 50-64.

  8. Bart Vermeulen & Peter Goos & Riccardo Scarpa & Martina Vandebroek, 2011. "Bayesian Conjoint Choice Designs for Measuring Willingness to Pay," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(1), pages 129-149, January.

    Cited by:

    1. Robert Turner, 2013. "Using contingent choice surveys to inform national park management," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 3(2), pages 120-138, June.
    2. Aiste Ruseckaite & Peter Goos & Dennis Fok, 2017. "Bayesian D-optimal choice designs for mixtures," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(2), pages 363-386, February.
    3. Gracia, Azucena & Barreiro-Hurlé, Jesús & Pérez y Pérez, Luis, 2012. "Can renewable energy be financed with higher electricity prices? Evidence from a Spanish region," Energy Policy, Elsevier, vol. 50(C), pages 784-794.
    4. Rungie, Cam & Scarpa, Riccardo & Thiene, Mara, 2014. "The influence of individuals in forming collective household preferences for water quality," Journal of Environmental Economics and Management, Elsevier, vol. 68(1), pages 161-174.
    5. Andreas Falke & Harald Hruschka, 2017. "A Monte Carlo study of design-generating algorithms for the latent class mixed logit model," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(4), pages 1035-1053, October.
    6. Ruokamo, Enni, 2016. "Household preferences of hybrid home heating systems – A choice experiment application," Energy Policy, Elsevier, vol. 95(C), pages 224-237.
    7. Richard Yao & Riccardo Scarpa & John Rose & James Turner, 2015. "Experimental Design Criteria and Their Behavioural Efficiency: An Evaluation in the Field," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 433-455, November.
    8. John Gibson & Riccardo Scarpa & Halahingano Rohorua, 2013. "Respiratory Health of Pacific Island Immigrants and Preferences for Indoor Air Quality Determinants in New Zealand," Working Papers in Economics 13/09, University of Waikato.
    9. Wiktor L. Adamowicz & Klaus Glenk & Jürgen Meyerhoff, 2014. "Choice modelling research in environmental and resource economics," Chapters,in: Handbook of Choice Modelling, chapter 27, pages 661-674 Edward Elgar Publishing.
    10. Campbell, Danny & Hensher, David A. & Scarpa, Riccardo, 2012. "Cost thresholds, cut-offs and sensitivities in stated choice analysis: Identification and implications," Resource and Energy Economics, Elsevier, vol. 34(3), pages 396-411.
    11. Begoña A. Farizo & John Joyce & Mario Soliño, 2014. "Dealing with Heterogeneous Preferences Using Multilevel Mixed Models," Land Economics, University of Wisconsin Press, vol. 90(1), pages 181-198.

  9. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2010. "Comparing different sampling schemes for approximating the integrals involved in the efficient design of stated choice experiments," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1268-1289, December.

    Cited by:

    1. Aiste Ruseckaite & Peter Goos & Dennis Fok, 2017. "Bayesian D-optimal choice designs for mixtures," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(2), pages 363-386, February.
    2. Nicolas Depraetere & Martina Vandebroek, 2017. "A comparison of variational approximations for fast inference in mixed logit models," Computational Statistics, Springer, vol. 32(1), pages 93-125, March.
    3. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
    4. Crabbe, Marjolein & Akinc, Deniz & Vandebroek, Martina, 2014. "Fast algorithms to generate individualized designs for the mixed logit choice model," Transportation Research Part B: Methodological, Elsevier, vol. 60(C), pages 1-15.
    5. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2011. "Individually adapted sequential Bayesian conjoint-choice designs in the presence of consumer heterogeneity," International Journal of Research in Marketing, Elsevier, vol. 28(4), pages 378-388.
    6. Crabbe, M. & Vandebroek, M., 2012. "Improving the efficiency of individualized designs for the mixed logit choice model by including covariates," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 2059-2072.
    7. John M. Rose & Michiel C.J. Bliemer, 2014. "Stated choice experimental design theory: the who, the what and the why," Chapters,in: Handbook of Choice Modelling, chapter 7, pages 152-177 Edward Elgar Publishing.
    8. KESSELS, Roselinde & BRADLEY, Jones & GOOS, Peter, 2012. "A comparison of partial profile designs for discrete choice experiments with an application in software development," Working Papers 2012004, University of Antwerp, Faculty of Applied Economics.

  10. Arnouts, Heidi & Goos, Peter, 2010. "Update formulas for split-plot and block designs," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3381-3391, December.
    See citations under working paper version above.
  11. Vermeulen, Bart & Goos, Peter & Vandebroek, Martina, 2010. "Obtaining more information from conjoint experiments by best-worst choices," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1426-1433, June.

    Cited by:

    1. David A. Hensher & Chinh Ho, 2016. "Identifying a behaviourally relevant choice set from stated choice data," Transportation, Springer, vol. 43(2), pages 197-217, March.
    2. de Palma, André & Kilani, Karim, 2017. "Identities for maximum, minimum, and maxmin random utility models," Economics Letters, Elsevier, vol. 155(C), pages 135-139.
    3. Balcombe, Paul & Rigby, Dan & Azapagic, Adisa, 2014. "Investigating the importance of motivations and barriers related to microgeneration uptake in the UK," Applied Energy, Elsevier, vol. 130(C), pages 403-418.
    4. Crabbe, M. & Vandebroek, M., 2012. "Improving the efficiency of individualized designs for the mixed logit choice model by including covariates," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 2059-2072.
    5. Lancsar, Emily & Louviere, Jordan & Donaldson, Cam & Currie, Gillian & Burgess, Leonie, 2013. "Best worst discrete choice experiments in health: Methods and an application," Social Science & Medicine, Elsevier, vol. 76(C), pages 74-82.
    6. Phillips, Yvonne, 2011. "When the Tide is High: Estimating the Welfare Impact of Coastal Erosion Management," 2011 Conference, August 25-26, 2011, Nelson, New Zealand 115414, New Zealand Agricultural and Resource Economics Society.

  12. Jie Yu & Peter Goos & Martina Vandebroek, 2009. "Efficient Conjoint Choice Designs in the Presence of Respondent Heterogeneity," Marketing Science, INFORMS, vol. 28(1), pages 122-135, 01-02.

    Cited by:

    1. Kessels, Roselinde, 2016. "Homogeneous versus heterogeneous designs for stated choice experiments: Ain't homogeneous designs all bad?," Journal of choice modelling, Elsevier, vol. 21(C), pages 2-9.
    2. Aiste Ruseckaite & Peter Goos & Dennis Fok, 2017. "Bayesian D-optimal choice designs for mixtures," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(2), pages 363-386, February.
    3. Fischer, Timo & Henkel, Joachim, 2013. "Complements and substitutes in profiting from innovation—A choice experimental approach," Research Policy, Elsevier, vol. 42(2), pages 326-339.
    4. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
    5. Andreas Falke & Harald Hruschka, 2017. "A Monte Carlo study of design-generating algorithms for the latent class mixed logit model," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(4), pages 1035-1053, October.
    6. Timo Fischer & Gaétan de Rassenfosse, 2011. "Debt Financing of High-growth Startups," DRUID Working Papers 11-04, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    7. Bliemer, Michiel C.J. & Rose, John M., 2010. "Construction of experimental designs for mixed logit models allowing for correlation across choice observations," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 720-734, July.
    8. John Rose & Michiel Bliemer, 2013. "Sample size requirements for stated choice experiments," Transportation, Springer, vol. 40(5), pages 1021-1041, September.
    9. Qing Liu & Neeraj Arora, 2011. "Efficient Choice Designs for a Consider-Then-Choose Model," Marketing Science, INFORMS, vol. 30(2), pages 321-338, 03-04.
    10. Andreas Falke & Harald Hruschka, 2017. "Setting prices in mixed logit model designs," Marketing Letters, Springer, vol. 28(1), pages 139-154, March.
    11. Frischknecht, Bart D. & Eckert, Christine & Geweke, John & Louviere, Jordan J., 2014. "A simple method for estimating preference parameters for individuals," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 35-48.
    12. Crabbe, Marjolein & Akinc, Deniz & Vandebroek, Martina, 2014. "Fast algorithms to generate individualized designs for the mixed logit choice model," Transportation Research Part B: Methodological, Elsevier, vol. 60(C), pages 1-15.
    13. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2011. "Individually adapted sequential Bayesian conjoint-choice designs in the presence of consumer heterogeneity," International Journal of Research in Marketing, Elsevier, vol. 28(4), pages 378-388.
    14. Bart Vermeulen & Peter Goos & Riccardo Scarpa & Martina Vandebroek, 2011. "Bayesian Conjoint Choice Designs for Measuring Willingness to Pay," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(1), pages 129-149, January.
    15. Hoenig, Daniel & Henkel, Joachim, 2015. "Quality signals? The role of patents, alliances, and team experience in venture capital financing," Research Policy, Elsevier, vol. 44(5), pages 1049-1064.
    16. Crabbe, M. & Vandebroek, M., 2012. "Improving the efficiency of individualized designs for the mixed logit choice model by including covariates," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 2059-2072.
    17. van Cranenburgh, Sander & Rose, John M. & Chorus, Caspar G., 2018. "On the robustness of efficient experimental designs towards the underlying decision rule," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 50-64.
    18. KESSELS, Roselinde & BRADLEY, Jones & GOOS, Peter, 2012. "A comparison of partial profile designs for discrete choice experiments with an application in software development," Working Papers 2012004, University of Antwerp, Faculty of Applied Economics.
    19. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2010. "Comparing different sampling schemes for approximating the integrals involved in the efficient design of stated choice experiments," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1268-1289, December.

  13. Bradley Jones & Peter Goos, 2009. "D-optimal design of split-split-plot experiments," Biometrika, Biometrika Trust, vol. 96(1), pages 67-82.
    See citations under working paper version above.
  14. Steven G. Gilmour & Peter Goos, 2009. "Analysis of data from non-orthogonal multistratum designs in industrial experiments," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(4), pages 467-484.

    Cited by:

    1. Aiste Ruseckaite & Dennis Fok & Peter Goos, 2016. "Flexible Mixture-Amount Models for Business and Industry using Gaussian Processes," Tinbergen Institute Discussion Papers 16-075/III, Tinbergen Institute.
    2. CUERVO, Daniel Palhazi & GOOS, Peter & SÖRENSEN, Kenneth, 2016. "An algorithmic framework for generating optimal two-stratum experimental designs," Working Papers 2016003, University of Antwerp, Faculty of Applied Economics.

  15. Kessels, Roselinde & Jones, Bradley & Goos, Peter & Vandebroek, Martina, 2009. "An Efficient Algorithm for Constructing Bayesian Optimal Choice Designs," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(2), pages 279-291.

    Cited by:

    1. Aiste Ruseckaite & Peter Goos & Dennis Fok, 2017. "Bayesian D-optimal choice designs for mixtures," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(2), pages 363-386, February.
    2. Vermeulen, Bart & Goos, Peter & Vandebroek, Martina, 2010. "Obtaining more information from conjoint experiments by best-worst choices," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1426-1433, June.
    3. Richard G. Newell & Juha Siikamäki, 2014. "Nudging Energy Efficiency Behavior: The Role of Information Labels," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(4), pages 555-598.
    4. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
    5. Andreas Falke & Harald Hruschka, 2017. "A Monte Carlo study of design-generating algorithms for the latent class mixed logit model," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(4), pages 1035-1053, October.
    6. Bliemer, Michiel C.J. & Rose, John M., 2010. "Construction of experimental designs for mixed logit models allowing for correlation across choice observations," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 720-734, July.
    7. John Rose & Michiel Bliemer, 2013. "Sample size requirements for stated choice experiments," Transportation, Springer, vol. 40(5), pages 1021-1041, September.
    8. Qing Liu & Neeraj Arora, 2011. "Efficient Choice Designs for a Consider-Then-Choose Model," Marketing Science, INFORMS, vol. 30(2), pages 321-338, 03-04.
    9. Sándor Zsolt, 2013. "Monte Carlo Simulation in Random Coefficient Logit Models Involving Large Sums," Acta Universitatis Sapientiae, Economics and Business, Sciendo, vol. 1(1), pages 85-108, July.
    10. GOOS, Peter & VERMEULEN, Bart & VANDEBROEK, Martina, 2008. "D-optimal conjoint choice designs with no-choice options for a nested logit model," Working Papers 2008020, University of Antwerp, Faculty of Applied Economics.
    11. Andreas Falke & Harald Hruschka, 2017. "Setting prices in mixed logit model designs," Marketing Letters, Springer, vol. 28(1), pages 139-154, March.
    12. Frischknecht, Bart D. & Eckert, Christine & Geweke, John & Louviere, Jordan J., 2014. "A simple method for estimating preference parameters for individuals," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 35-48.
    13. Jie Yu & Peter Goos & Martina Vandebroek, 2009. "Efficient Conjoint Choice Designs in the Presence of Respondent Heterogeneity," Marketing Science, INFORMS, vol. 28(1), pages 122-135, 01-02.
    14. Sanko, Nobuhiro & Yamamoto, Toshiyuki, 2013. "Estimation efficiency of RP/SP models considering SP design and error structures," Journal of choice modelling, Elsevier, vol. 6(C), pages 60-73.
    15. VERHETSEL, Ann & KESSELS, Roselinde & BLOMME, Nele & CANT, Jeroen & GOOS, Peter, 2013. "Location of logistics companies: A stated preference study to disentangle the impact of accessibility," Working Papers 2013024, University of Antwerp, Faculty of Applied Economics.
    16. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2011. "Individually adapted sequential Bayesian conjoint-choice designs in the presence of consumer heterogeneity," International Journal of Research in Marketing, Elsevier, vol. 28(4), pages 378-388.
    17. Bart Vermeulen & Peter Goos & Riccardo Scarpa & Martina Vandebroek, 2011. "Bayesian Conjoint Choice Designs for Measuring Willingness to Pay," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(1), pages 129-149, January.
    18. John M. Rose & Michiel C.J. Bliemer, 2014. "Stated choice experimental design theory: the who, the what and the why," Chapters,in: Handbook of Choice Modelling, chapter 7, pages 152-177 Edward Elgar Publishing.
    19. KESSELS, Roselinde & BRADLEY, Jones & GOOS, Peter, 2012. "A comparison of partial profile designs for discrete choice experiments with an application in software development," Working Papers 2012004, University of Antwerp, Faculty of Applied Economics.
    20. KESSELS, Roselinde & JONES, Bradley & GOOS, Peter, 2013. "An argument for preferring Firth bias-adjusted estimates in aggregate and individual-level discrete choice modeling," Working Papers 2013013, University of Antwerp, Faculty of Applied Economics.
    21. Dellaert, Benedict G.C. & Arentze, Theo & Horeni, Oliver & Timmermans, Harry J.P., 2017. "Deriving attribute utilities from mental representations of complex decisions," Journal of choice modelling, Elsevier, vol. 22(C), pages 24-38.
    22. J. DeShazo & Trudy Cameron & Manrique Saenz, 2009. "The Effect of Consumers’ Real-World Choice Sets on Inferences from Stated Preference Surveys," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(3), pages 319-343, March.
    23. Víctor Casero-Alonso & Jesús López-Fidalgo, 2015. "Experimental designs in triangular simultaneous equations models," Statistical Papers, Springer, vol. 56(2), pages 273-290, May.
    24. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2010. "Comparing different sampling schemes for approximating the integrals involved in the efficient design of stated choice experiments," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1268-1289, December.

  16. Kessels, Roselinde & Goos, Peter & Vandebroek, Martina, 2008. "Optimal designs for conjoint experiments," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2369-2387, January.

    Cited by:

    1. Vermeulen, Bart & Goos, Peter & Vandebroek, Martina, 2010. "Obtaining more information from conjoint experiments by best-worst choices," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1426-1433, June.
    2. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
    3. Arnouts, Heidi & Goos, Peter, 2010. "Update formulas for split-plot and block designs," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3381-3391, December.
    4. Richard Yao & Riccardo Scarpa & John Rose & James Turner, 2015. "Experimental Design Criteria and Their Behavioural Efficiency: An Evaluation in the Field," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 433-455, November.
    5. Leite, Sheila Cristina Ferreira & De Figueiredo, Margarida Garcia, 2006. "Fluxos De Algodão Em Pluma Para Exportação No Estado Da Bahia: Uma Aplicação De Programação Linear," 44th Congress, July 23-27, 2006, Fortaleza, Ceará, Brazil 149116, Sociedade Brasileira de Economia, Administracao e Sociologia Rural (SOBER).
    6. GOOS, Peter & VERMEULEN, Bart & VANDEBROEK, Martina, 2008. "D-optimal conjoint choice designs with no-choice options for a nested logit model," Working Papers 2008020, University of Antwerp, Faculty of Applied Economics.
    7. Frode Alfnes & Maren Bachke & Mette Wik, 2012. "Eliciting donor preferences," Artefactual Field Experiments 00098, The Field Experiments Website.
    8. Li, Xiaogu & Clark, Christopher D. & Jensen, Kimberly L. & Yen, Steven T., 2013. "The Effect of Mail-in Utility Rebates on Willingness-to-Pay for ENERGY STAR® Certified Refrigerators," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 159795, Southern Agricultural Economics Association.
    9. Santos, Jair Carvalho Dos, 2006. "Estimativa De Custo De Coleta E Rentabilidade Para Sistema Extrativo De Latex De Seringueira Na Amazonia," 44th Congress, July 23-27, 2006, Fortaleza, Ceará, Brazil 145689, Sociedade Brasileira de Economia, Administracao e Sociologia Rural (SOBER).
    10. VERHETSEL, Ann & KESSELS, Roselinde & BLOMME, Nele & CANT, Jeroen & GOOS, Peter, 2013. "Location of logistics companies: A stated preference study to disentangle the impact of accessibility," Working Papers 2013024, University of Antwerp, Faculty of Applied Economics.
    11. Sahan T. M. Dissanayake & Amy W. Ando, 2014. "Valuing Grassland Restoration: Proximity to Substitutes and Trade-offs among Conservation Attributes," Land Economics, University of Wisconsin Press, vol. 90(2), pages 237-259.
    12. Kallas, Zein & Maria Gil, Jose, 2011. "A Dual Response Choice Experiments (DRCE) design to assess rabbit meat preference in Catalonia: A Heteroescedatistic Extreme-Value Model," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114779, European Association of Agricultural Economists.
    13. KUPFER, Franziska & KESSELS, Roselinde & GOOS, Peter & VAN DE VOORDE, Eddy & VERHETSEL, Ann, 2013. "A discrete choice approach for analysing the airport choice for freighter operations in Europe," Working Papers 2013028, University of Antwerp, Faculty of Applied Economics.
    14. Bart Vermeulen & Peter Goos & Riccardo Scarpa & Martina Vandebroek, 2011. "Bayesian Conjoint Choice Designs for Measuring Willingness to Pay," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(1), pages 129-149, January.
    15. Xiaogu Li & Christopher Clark & Kimberly Jensen & Steven Yen, 2016. "The Effect of Mail-in Utility Rebates on Willingness-to-Pay for ENERGY STAR $$^{\textregistered }$$ ® Certified Refrigerators," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(1), pages 1-23, January.
    16. Massuquetti, Angelica, 2006. "Algumas Reflexões Acerca Do Espaço De Investigação Sobre O," 44th Congress, July 23-27, 2006, Fortaleza, Ceará, Brazil 149051, Sociedade Brasileira de Economia, Administracao e Sociologia Rural (SOBER).
    17. Alves, Maria Odete & Valente, Airton Saboya Jr, 2006. "Comunicação Rural Entre Três Atores Nas Áreas De Concentração De Fruteiras No Nordeste Brasileiro:," 44th Congress, July 23-27, 2006, Fortaleza, Ceará, Brazil 148515, Sociedade Brasileira de Economia, Administracao e Sociologia Rural (SOBER).
    18. Crabbe, M. & Vandebroek, M., 2012. "Improving the efficiency of individualized designs for the mixed logit choice model by including covariates," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 2059-2072.
    19. CUERVO, Daniel Palhazi & GOOS, Peter & SÖRENSEN, Kenneth, 2016. "An algorithmic framework for generating optimal two-stratum experimental designs," Working Papers 2016003, University of Antwerp, Faculty of Applied Economics.
    20. Candel, Math J.J.M. & Van Breukelen, Gerard J.P., 2010. "D-optimality of unequal versus equal cluster sizes for mixed effects linear regression analysis of randomized trials with clusters in one treatment arm," Computational Statistics & Data Analysis, Elsevier, vol. 54(8), pages 1906-1920, August.
    21. KESSELS, Roselinde & BRADLEY, Jones & GOOS, Peter, 2012. "A comparison of partial profile designs for discrete choice experiments with an application in software development," Working Papers 2012004, University of Antwerp, Faculty of Applied Economics.
    22. KESSELS, Roselinde & JONES, Bradley & GOOS, Peter, 2013. "An argument for preferring Firth bias-adjusted estimates in aggregate and individual-level discrete choice modeling," Working Papers 2013013, University of Antwerp, Faculty of Applied Economics.
    23. KESSELS, Roselinde & VAN HERCK, Pieter & DANCET, Eline & ANNEMANS, Lieven & SERMEUS, Walter, 2014. "How to reform western care payment systems according to physicians, policy makers, healthcare executives and researchers: A discrete choice experiment," Working Papers 2014022, University of Antwerp, Faculty of Applied Economics.
    24. Li, Xiaogu & Jensen, Kimberly L. & Clark, Christopher D. & Lambert, Dayton M., 2015. "Consumer Willingness-to-Pay for Non-taste Attributes in Beef Products," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196719, Southern Agricultural Economics Association.
    25. J. DeShazo & Trudy Cameron & Manrique Saenz, 2009. "The Effect of Consumers’ Real-World Choice Sets on Inferences from Stated Preference Surveys," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(3), pages 319-343, March.
    26. Xiaogu Li & Christopher Clark & Kimberly Jensen & Steven Yen, 2014. "Will consumers follow climate leaders? The effect of manufacturer participation in a voluntary environmental program on consumer preferences," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 16(1), pages 69-87, January.
    27. Rocha, Luiz Eduardo Vasconcelos & Santos, Gilnei Costa & Bastos, Patricia de Melo Abrita, 2006. "Evolução Da Distribuição Da Renda E Da Pobreza Das Famílias Ocupadas E Residentes No Meio Rural Do Estado De Minas Gerais, De 1981 A 2003," 44th Congress, July 23-27, 2006, Fortaleza, Ceará, Brazil 148649, Sociedade Brasileira de Economia, Administracao e Sociologia Rural (SOBER).

  17. Vermeulen, Bart & Goos, Peter & Vandebroek, Martina, 2008. "Models and optimal designs for conjoint choice experiments including a no-choice option," International Journal of Research in Marketing, Elsevier, vol. 25(2), pages 94-103.

    Cited by:

    1. Ward, David O. & Clark, Christopher D. & Jensen, Kimberly L. & Yen, Steven T. & Russell, Clifford S., 2011. "Factors influencing willingness-to-pay for the ENERGY STAR® label," Energy Policy, Elsevier, vol. 39(3), pages 1450-1458, March.
    2. Dong, Songting & Ding, Min & Huber, Joel, 2010. "A simple mechanism to incentive-align conjoint experiments," International Journal of Research in Marketing, Elsevier, vol. 27(1), pages 25-32.
    3. Leite, Sheila Cristina Ferreira & De Figueiredo, Margarida Garcia, 2006. "Fluxos De Algodão Em Pluma Para Exportação No Estado Da Bahia: Uma Aplicação De Programação Linear," 44th Congress, July 23-27, 2006, Fortaleza, Ceará, Brazil 149116, Sociedade Brasileira de Economia, Administracao e Sociologia Rural (SOBER).
    4. Jiyeon Jung & Yoonmo Koo, 2018. "Analyzing the Effects of Car Sharing Services on the Reduction of Greenhouse Gas (GHG) Emissions," Sustainability, MDPI, Open Access Journal, vol. 10(2), pages 1-17, February.
    5. Frode Alfnes & Maren Bachke & Mette Wik, 2012. "Eliciting donor preferences," Artefactual Field Experiments 00098, The Field Experiments Website.
    6. Li, Xiaogu & Clark, Christopher D. & Jensen, Kimberly L. & Yen, Steven T., 2013. "The Effect of Mail-in Utility Rebates on Willingness-to-Pay for ENERGY STAR® Certified Refrigerators," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 159795, Southern Agricultural Economics Association.
    7. Santos, Jair Carvalho Dos, 2006. "Estimativa De Custo De Coleta E Rentabilidade Para Sistema Extrativo De Latex De Seringueira Na Amazonia," 44th Congress, July 23-27, 2006, Fortaleza, Ceará, Brazil 145689, Sociedade Brasileira de Economia, Administracao e Sociologia Rural (SOBER).
    8. Le Coent, Philippe & Préget, Raphaële & Thoyer, Sophie, 2017. "Compensating Environmental Losses Versus Creating Environmental Gains: Implications for Biodiversity Offsets," Ecological Economics, Elsevier, vol. 142(C), pages 120-129.
    9. Kallas, Zein & Maria Gil, Jose, 2011. "A Dual Response Choice Experiments (DRCE) design to assess rabbit meat preference in Catalonia: A Heteroescedatistic Extreme-Value Model," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114779, European Association of Agricultural Economists.
    10. Gensler, Sonja & Hinz, Oliver & Skiera, Bernd & Theysohn, Sven, 2012. "Willingness-to-pay estimation with choice-based conjoint analysis: Addressing extreme response behavior with individually adapted designs," European Journal of Operational Research, Elsevier, vol. 219(2), pages 368-378.
    11. Xiaogu Li & Christopher Clark & Kimberly Jensen & Steven Yen, 2016. "The Effect of Mail-in Utility Rebates on Willingness-to-Pay for ENERGY STAR $$^{\textregistered }$$ ® Certified Refrigerators," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(1), pages 1-23, January.
    12. Massuquetti, Angelica, 2006. "Algumas Reflexões Acerca Do Espaço De Investigação Sobre O," 44th Congress, July 23-27, 2006, Fortaleza, Ceará, Brazil 149051, Sociedade Brasileira de Economia, Administracao e Sociologia Rural (SOBER).
    13. Alves, Maria Odete & Valente, Airton Saboya Jr, 2006. "Comunicação Rural Entre Três Atores Nas Áreas De Concentração De Fruteiras No Nordeste Brasileiro:," 44th Congress, July 23-27, 2006, Fortaleza, Ceará, Brazil 148515, Sociedade Brasileira de Economia, Administracao e Sociologia Rural (SOBER).
    14. Ida, Takanori & Takemura, Kosuke & Sato, Masayuki, 2015. "Inner conflict between nuclear power generation and electricity rates: A Japanese case study," Energy Economics, Elsevier, vol. 48(C), pages 61-69.
    15. Nordén, Anna & Coria, Jessica & Jönsson, Anna Maria & Lagergren, Fredrik & Lehsten, Veiko, 2015. "Divergence in Stakeholders’ Preferences: Evidence from a Choice Experiment on Forest Landscapes Preferences in Sweden," Working Papers in Economics 616, University of Gothenburg, Department of Economics.
    16. Daniel R. Cavagnaro & Richard Gonzalez & Jay I. Myung & Mark A. Pitt, 2013. "Optimal Decision Stimuli for Risky Choice Experiments: An Adaptive Approach," Management Science, INFORMS, vol. 59(2), pages 358-375, February.
    17. Li, Xiaogu & Jensen, Kimberly L. & Clark, Christopher D. & Lambert, Dayton M., 2015. "Consumer Willingness-to-Pay for Non-taste Attributes in Beef Products," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196719, Southern Agricultural Economics Association.
    18. Xiaogu Li & Christopher Clark & Kimberly Jensen & Steven Yen, 2014. "Will consumers follow climate leaders? The effect of manufacturer participation in a voluntary environmental program on consumer preferences," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 16(1), pages 69-87, January.
    19. Rocha, Luiz Eduardo Vasconcelos & Santos, Gilnei Costa & Bastos, Patricia de Melo Abrita, 2006. "Evolução Da Distribuição Da Renda E Da Pobreza Das Famílias Ocupadas E Residentes No Meio Rural Do Estado De Minas Gerais, De 1981 A 2003," 44th Congress, July 23-27, 2006, Fortaleza, Ceará, Brazil 148649, Sociedade Brasileira de Economia, Administracao e Sociologia Rural (SOBER).
    20. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2010. "Comparing different sampling schemes for approximating the integrals involved in the efficient design of stated choice experiments," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1268-1289, December.

  18. Bradley Jones & Peter Goos, 2007. "A candidate-set-free algorithm for generating "D"-optimal split-plot designs," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 56(3), pages 347-364.
    See citations under working paper version above.
  19. Goos, P. & Donev, A.N., 2006. "Blocking response surface designs," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1075-1088, November.

    Cited by:

    1. Eugene C. Ukaegbu & Polycarp E. Chigbu, 2017. "Evaluation of Orthogonally Blocked Central Composite Designs with Partial Replications," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 79(1), pages 112-141, May.
    2. VO-THANH, Nha & GOOS, Peter & SCHOEN, Eric D., 2016. "Integer programming approaches to find row-column arrangements of two-level orthogonal experimental designs," Working Papers 2016010, University of Antwerp, Faculty of Applied Economics.
    3. Georgiou, Stelios D. & Stylianou, Stella & Aggarwal, Manohar, 2014. "A class of composite designs for response surface methodology," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1124-1133.
    4. ARNOUTS, Heidi & GOOS, Peter, 2009. "Design and analysis of industrial strip-plot experiments," Working Papers 2009007, University of Antwerp, Faculty of Applied Economics.
    5. Loeza-Serrano, S. & Donev, A.N., 2014. "Construction of experimental designs for estimating variance components," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1168-1177.
    6. Peter Goos & Alexander Donev, 2007. "$$\mathcal{D}$$ -optimal Minimum Support Mixture Designs in Blocks," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 65(1), pages 53-68, February.

  20. Peter Goos, 2006. "Optimal versus orthogonal and equivalent-estimation design of blocked and split-plot experiments," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 60(3), pages 361-378.

    Cited by:

    1. Sambo, Francesco & Borrotti, Matteo & Mylona, Kalliopi, 2014. "A coordinate-exchange two-phase local search algorithm for the D- and I-optimal designs of split-plot experiments," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1193-1207.
    2. Smucker, Byran J. & Castillo, Enrique del & Rosenberger, James L., 2012. "Model-robust designs for split-plot experiments," Computational Statistics & Data Analysis, Elsevier, vol. 56(12), pages 4111-4121.
    3. MYLONA, Kalliopi & MACHARIA, Harrison & GOOS, Peter, 2011. "Three-level equivalent-estimation split-plot designs based on subset and supplementary difference set designs," Working Papers 2011010, University of Antwerp, Faculty of Applied Economics.
    4. Kessels, Roselinde & Goos, Peter & Vandebroek, Martina, 2008. "Optimal designs for conjoint experiments," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2369-2387, January.
    5. CUERVO, Daniel Palhazi & GOOS, Peter & SÖRENSEN, Kenneth, 2016. "An algorithmic framework for generating optimal two-stratum experimental designs," Working Papers 2016003, University of Antwerp, Faculty of Applied Economics.
    6. JONES, Bradley & GOOS, Peter, 2012. "I-optimal versus D-optimal split-plot response surface designs," Working Papers 2012002, University of Antwerp, Faculty of Applied Economics.

  21. Goos, Peter & Kobilinsky, Andre & O'Brien, Timothy E. & Vandebroek, Martina, 2005. "Model-robust and model-sensitive designs," Computational Statistics & Data Analysis, Elsevier, vol. 49(1), pages 201-216, April.

    Cited by:

    1. Smucker, Byran J. & Castillo, Enrique del & Rosenberger, James L., 2012. "Model-robust designs for split-plot experiments," Computational Statistics & Data Analysis, Elsevier, vol. 56(12), pages 4111-4121.
    2. Kiselák, Jozef & Stehlík, Milan, 2008. "Equidistant and D-optimal designs for parameters of Ornstein-Uhlenbeck process," Statistics & Probability Letters, Elsevier, vol. 78(12), pages 1388-1396, September.
    3. Ruggoo, Arvind & Vandebroek, Martina, 2006. "Model-sensitive sequential optimal designs," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1089-1099, November.

  22. Goos, Peter & Vandebroek, Martina, 2001. "-optimal response surface designs in the presence of random block effects," Computational Statistics & Data Analysis, Elsevier, vol. 37(4), pages 433-453, October.

    Cited by:

    1. Arnouts, Heidi & Goos, Peter, 2010. "Update formulas for split-plot and block designs," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3381-3391, December.
    2. Das, Rabindra Nath & Kim, Jinseog & Park, Jeong-Soo, 2015. "Robust D-optimal designs under correlated error, applicable invariantly for some lifetime distributions," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 92-100.
    3. Payne, Roger W., 2003. "General balance, large data sets and extensions to unbalanced treatment structures," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 297-304, October.
    4. Kessels, Roselinde & Goos, Peter & Vandebroek, Martina, 2008. "Optimal designs for conjoint experiments," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2369-2387, January.
    5. GOOS, Peter & VERMEULEN, Bart & VANDEBROEK, Martina, 2008. "D-optimal conjoint choice designs with no-choice options for a nested logit model," Working Papers 2008020, University of Antwerp, Faculty of Applied Economics.

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 40 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (12) 2006-03-05 2006-03-18 2007-10-20 2009-01-17 2010-02-20 2010-07-24 2010-11-13 2013-08-31 2014-07-13 2015-04-25 2016-09-18 2017-11-05. Author is listed
  2. NEP-DCM: Discrete Choice Models (10) 2009-01-17 2012-02-20 2013-08-31 2013-11-16 2013-12-29 2014-07-13 2014-11-12 2015-04-25 2015-10-04 2016-02-23. Author is listed
  3. NEP-EXP: Experimental Economics (9) 2009-01-17 2010-02-20 2010-02-20 2010-11-13 2013-05-05 2015-01-26 2015-10-04 2016-02-23 2017-01-01. Author is listed
  4. NEP-CMP: Computational Economics (8) 2007-10-20 2010-02-20 2012-04-10 2012-11-11 2013-05-05 2013-06-16 2016-02-23 2017-01-01. Author is listed
  5. NEP-TRE: Transport Economics (3) 2013-10-18 2013-11-16 2015-01-19
  6. NEP-TUR: Tourism Economics (2) 2012-11-11 2013-11-16
  7. NEP-COM: Industrial Competition (1) 2013-11-16
  8. NEP-EDU: Education (1) 2010-02-20
  9. NEP-ETS: Econometric Time Series (1) 2007-10-20
  10. NEP-GEO: Economic Geography (1) 2013-10-18
  11. NEP-HEA: Health Economics (1) 2015-10-04
  12. NEP-IAS: Insurance Economics (1) 2015-10-04
  13. NEP-LAB: Labour Economics (1) 2010-02-20
  14. NEP-ORE: Operations Research (1) 2016-09-18
  15. NEP-SOG: Sociology of Economics (1) 2016-09-18
  16. NEP-UPT: Utility Models & Prospect Theory (1) 2016-02-23
  17. NEP-URE: Urban & Real Estate Economics (1) 2013-11-16

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