IDEAS home Printed from https://ideas.repec.org/r/cup/cbooks/9780521143653.html
   My bibliography  Save this item

Quantitative Models in Marketing Research

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Christiaan Heij & Philip Hans Franses, 2011. "Correcting for survey effects in pre‐election polls," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 65(3), pages 352-370, August.
  2. Segers, Rene & Franses, Philip Hans & de Bruijn, Bert, 2017. "A novel approach to measuring consumer confidence," Econometrics and Statistics, Elsevier, vol. 4(C), pages 121-129.
  3. Risselada, Hans & Verhoef, Peter C. & Bijmolt, Tammo H.A., 2010. "Staying Power of Churn Prediction Models," Journal of Interactive Marketing, Elsevier, vol. 24(3), pages 198-208.
  4. Zewei Lin & Dungang Liu, 2022. "Model diagnostics of discrete data regression: a unifying framework using functional residuals," Papers 2207.04299, arXiv.org.
  5. Michis Antonis A, 2009. "Regression Analysis of Marketing Time Series: A Wavelet Approach with Some Frequency Domain Insights," Review of Marketing Science, De Gruyter, vol. 7(1), pages 1-43, July.
  6. Makoto Abe, 2006. ""Counting Your Customers" One by One: An Individual Level RF Analysis Based on Consumer Behavior Theory," CIRJE F-Series CIRJE-F-408, CIRJE, Faculty of Economics, University of Tokyo.
  7. Richard Paap, 2002. "What are the advantages of MCMC based inference in latent variable models?," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 56(1), pages 2-22, February.
  8. Polo, Yolanda & Sese, F. Javier & Verhoef, Peter C., 2011. "The Effect of Pricing and Advertising on Customer Retention in a Liberalizing Market," Journal of Interactive Marketing, Elsevier, vol. 25(4), pages 201-214.
  9. David A. Schweidel & George Knox, 2013. "Incorporating Direct Marketing Activity into Latent Attrition Models," Marketing Science, INFORMS, vol. 32(3), pages 471-487, May.
  10. Liu, Dungang & Li, Shaobo & Yu, Yan & Moustaki, Irini, 2020. "Assessing partial association between ordinal variables: quantification, visualization, and hypothesis testing," LSE Research Online Documents on Economics 105558, London School of Economics and Political Science, LSE Library.
  11. Björn Bünger, 2010. "The demand for relational goods: empirical evidence from the European Social Survey," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 57(2), pages 177-198, June.
  12. Robert Kapłon, 2006. "A retrospective review of categorical data analysis – theory and marketing practice," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 16(1), pages 55-72.
  13. Zhao, Li & Tian, Peng & Xiangyong Li, 2012. "Dynamic pricing in the presence of consumer inertia," Omega, Elsevier, vol. 40(2), pages 137-148, April.
  14. Bas Donkers & Peter Verhoef & Martijn Jong, 2007. "Modeling CLV: A test of competing models in the insurance industry," Quantitative Marketing and Economics (QME), Springer, vol. 5(2), pages 163-190, June.
  15. Defrancesco, Edi, 2002. "The Beginning Of Organic Fish Farming In Italy," Working Papers 14367, University of Minnesota, Center for International Food and Agricultural Policy.
  16. Peter C. Verhoef & Martin Heijnsbroek & Joost Bosma, 2017. "Developing A Service Improvement System for the National Dutch Railways," Interfaces, INFORMS, vol. 47(6), pages 489-504, December.
  17. de Jong, M.G., 2006. "Response bias in international marketing research," Other publications TiSEM 5d4031be-97b5-4db3-962b-2, Tilburg University, School of Economics and Management.
  18. Segers, R. & Franses, Ph.H.B.F., 2008. "Measuring weekly consumer confidence," Econometric Institute Research Papers EI 2008-01, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  19. Ming Yin & Zheng Wan & Kap Hwan Kim & Shi Yuan Zheng, 2019. "An optimal variable pricing model for container line revenue management systems," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(2), pages 173-191, June.
  20. Zhao, Shangwei & Zhou, Jianhong & Yang, Guangren, 2019. "Averaging estimators for discrete choice by M-fold cross-validation," Economics Letters, Elsevier, vol. 174(C), pages 65-69.
  21. Fernández-Durán, J.J., 2016. "Defining generational cohorts for marketing in Mexico," Journal of Business Research, Elsevier, vol. 69(2), pages 435-444.
  22. van Wezel, Michiel & Potharst, Rob, 2007. "Improved customer choice predictions using ensemble methods," European Journal of Operational Research, Elsevier, vol. 181(1), pages 436-452, August.
  23. Prinz, Aloys & Bünger, Björn, 2009. "The decline of relational goods in the production of well-being?," CAWM Discussion Papers 21, University of Münster, Münster Center for Economic Policy (MEP).
  24. Edwin Van Gameren & Michiel Ras & Evelien Eggink & Ingrid Ooms, 2005. "The demand for housing services in the Netherlands," ERSA conference papers ersa05p327, European Regional Science Association.
  25. Mohamed Abdallah Ali & Mazhar Mughal & Charles Kodjo Mawusi, 2021. "Does Khat Consumption Affect Work Performance ? A Micro-Perspective from Djibouti," Working papers of Transitions Energétiques et Environnementales (TREE) hal-03375659, HAL.
  26. Vicari, Donatella & Alfó, Marco, 2014. "Model based clustering of customer choice data," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 3-13.
  27. Sibdari, Soheil & Pyke, David F., 2010. "A competitive dynamic pricing model when demand is interdependent over time," European Journal of Operational Research, Elsevier, vol. 207(1), pages 330-338, November.
  28. Dennis Fok & Richard Paap, 2009. "Modeling category‐level purchase timing with brand‐level marketing variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(3), pages 469-489, April.
  29. Adel Ben Youssef & Mounir Dahmani & Nessrine Omrani, 2013. "Information technologies, students'e-skills and diversity of learning process," Post-Print halshs-00937145, HAL.
  30. Romina Gambacorta & Maria Iannario, 2012. "Statistical models for measuring job satisfaction," Temi di discussione (Economic working papers) 852, Bank of Italy, Economic Research and International Relations Area.
  31. Abhijit Sengupta & Stephen E. Glavin, 2010. "Volatility In The Consumer Packaged Goods Industry — A Simulation Based Study," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 13(04), pages 579-605.
  32. Ginés Guirao Pérez & Victor Javier Cano Fernández & Marta Isabel López Yurda & María Carolina Rodríguez Donate & Margarita Esther Romero Rodríguez, 2004. "Relación entre la frecuencia de consumo de vino y algunas características socioeconómicas de los individuos," Documentos de trabajo conjunto ULL-ULPGC 2004-01, Facultad de Ciencias Económicas de la ULPGC.
  33. Maruyama, Masayoshi & Flath, David & Minamikawa, Kazumitsu & Ohkita, Kenichi & Zennyo, Yusuke, 2015. "Platform selection by software developers: Theory and evidence," Journal of the Japanese and International Economies, Elsevier, vol. 38(C), pages 282-303.
  34. Chan, Moon-tong & Yu, Dalei & Yau, Kelvin K.W., 2015. "Multilevel cumulative logistic regression model with random effects: Application to British social attitudes panel survey data," Computational Statistics & Data Analysis, Elsevier, vol. 88(C), pages 173-186.
  35. Yabing Jiang & Hong Guo, 2015. "Design of Consumer Review Systems and Product Pricing," Information Systems Research, INFORMS, vol. 26(4), pages 714-730, December.
  36. Franses, Philip Hans, 2006. "Forecasting in Marketing," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 18, pages 983-1012, Elsevier.
  37. Kremer, Sara T.M. & Bijmolt, Tammo H.A. & Leeflang, Peter S.H. & Wieringa, Jaap E., 2008. "Generalizations on the effectiveness of pharmaceutical promotional expenditures," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 234-246.
  38. Dekimpe, M.G. & Hanssens, D.M. & Nijs, V.R. & Steenkamp, J-B.E.M., 2003. "Measuring Short- and Long-run Promotional Effectiveness on Scanner Data Using Persistence Modeling," ERIM Report Series Research in Management ERS-2003-087-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  39. Franses, Ph.H.B.F. & Patoir, D.A., 2002. "Modeling students' evealuation scores; comparing economics schools in Maastricht and Rotterdam," Econometric Institute Research Papers EI 2002-12, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  40. Leenheer, Jorna & Bijmolt, Tammo H.A., 2008. "Which retailers adopt a loyalty program? An empirical study," Journal of Retailing and Consumer Services, Elsevier, vol. 15(6), pages 429-442.
  41. van Wezel, M.C. & Potharst, R., 2005. "Improved customer choice predictions using ensemble methods," Econometric Institute Research Papers EI 2005-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  42. Ben Youssef, Adel & Dahmani, Mounir & Omrani, Nessrine, 2012. "Students' e-skills, organizational change and diversity of learning processs: Evidence from French universities in 2010," ZEW Discussion Papers 12-031, ZEW - Leibniz Centre for European Economic Research.
  43. van Nierop, J.E.M. & Leeflang, P.S.H. & Teerling, M.L. & Huizingh, K.R.E., 2011. "The impact of the introduction and use of an informational website on offline customer buying behavior," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 155-165.
  44. van Lin, Arjen & Gijsbrechts, Els, 2016. "The battle for health and beauty: What drives supermarket and drugstore category-promotion lifts?," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 557-577.
  45. Vroomen, B.L.K. & Donkers, A.C.D. & Verhoef, P.C. & Franses, Ph.H.B.F., 2003. "Purchasing complex services on the Internet; An analysis of mortgage loan acquisitions," ERIM Report Series Research in Management ERS-2003-075-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  46. Eoghan O'Neill, 2022. "Type I Tobit Bayesian Additive Regression Trees for Censored Outcome Regression," Papers 2211.07506, arXiv.org, revised Feb 2024.
  47. Lin, Kyle Y. & Sibdari, Soheil Y., 2009. "Dynamic price competition with discrete customer choices," European Journal of Operational Research, Elsevier, vol. 197(3), pages 969-980, September.
  48. Els Breugelmans & Yuping Liu-Thompkins, 2017. "The effect of loyalty program expiration policy on consumer behavior," Marketing Letters, Springer, vol. 28(4), pages 537-550, December.
  49. Potharst, R. & van Rijthoven, M. & van Wezel, M.C., 2005. "Modeling brand choice using boosted and stacked neural networks," Econometric Institute Research Papers EI 2005-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  50. Perez, G. Guirao & Fernandez, V. Cano & Yurda, M.I. Lopez & Donate, M.C. Rodriguez, 2002. "Socioeconomic Factors and the Consumption of Wine in Tenerife," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24798, European Association of Agricultural Economists.
  51. Qian, Lixian & Soopramanien, Didier & Daryanto, Ahmad, 2017. "First-time buyers' subjective knowledge and the attribute preferences of Chinese car buyers," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 189-196.
  52. Lemmens, A. & Croux, C., 2006. "Bagging and boosting classification trees to predict churn," Other publications TiSEM d5cb664d-5859-44db-a621-e, Tilburg University, School of Economics and Management.
  53. Clarijs, P. & Hogeling, B. & Franses, Ph.H.B.F. & Heij, C., 2007. "Evaluation of survey effects in pre-election polls," Econometric Institute Research Papers EI 2007-50, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  54. Christoph Fuchs & Martijn G. de Jong & Martin Schreier, 2020. "Earmarking Donations to Charity: Cross-cultural Evidence on Its Appeal to Donors Across 25 Countries," Management Science, INFORMS, vol. 66(10), pages 4820-4842, October.
  55. Sloot, L.M. & Verhoef, P.C. & Franses, Ph.H.B.F., 2002. "The impact of brand and category characteristics on consumer stock-out reactions," ERIM Report Series Research in Management ERS-2002-106-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  56. Friederike Paetz & Winfried J. Steiner & Harald Hruschka, 2022. "“Advanced data analysis techniques with marketing applications”," Journal of Business Economics, Springer, vol. 92(4), pages 557-561, May.
  57. Abdelfatah Ichou, 2010. "Modelling the Determinants of Job Creation: Microeconometric Models Accounting for Latent Entrepreneurial Ability," Scales Research Reports H201018, EIM Business and Policy Research.
  58. Heij, C. & Knapp, S., 2018. "Shipping Inspections, Detentions, and Accidents: An Empirical Analysis of Risk Dimensions," Econometric Institute Research Papers 2018-36, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  59. Nicole van Nes & Jacqueline Cramer, 2005. "Influencing product lifetime through product design," Business Strategy and the Environment, Wiley Blackwell, vol. 14(5), pages 286-299, September.
  60. Bioch, J.C. & Groenen, P.J.F. & Nalbantov, G.I., 2005. "Solving and interpreting binary classification problems in marketing with SVMs," Econometric Institute Research Papers EI 2005-46, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  61. Heij, C. & Knapp, S., 2014. "Effects of wind strength and wave height on ship incident risk: regional trends and seasonality," Econometric Institute Research Papers EI2014-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.