IDEAS home Printed from https://ideas.repec.org/f/c/ppa225.html
   My authors  Follow this author

John Panaretos

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.

Working papers

  1. Panaretos, John & Malesios, Chrisovalandis, 2012. "Influential Mathematicians: Birth, Education and Affiliation," MPRA Paper 68046, University Library of Munich, Germany.

    Cited by:

    1. Pedro Albarrán & Raquel Carrasco & Javier Ruiz-Castillo, 2017. "Are Migrants More Productive Than Stayers? Some Evidence From A Set Of Highly Productive Academic Economists," Economic Inquiry, Western Economic Association International, vol. 55(3), pages 1308-1323, July.
    2. Carrasco, Raquel & Ruiz-Castillo, Javier, 2016. "The gender productivity gap : some evidence for a set of highly productive academic economists," UC3M Working papers. Economics 23525, Universidad Carlos III de Madrid. Departamento de Economía.
    3. Raquel Carrasco & Javier Ruiz-Castillo, 2019. "Spatial mobility in elite academic institutions in economics: the case of Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 141-172, June.
    4. Pedro Albarrán & Raquel Carrasco & Javier Ruiz-Castillo, 2017. "Geographic mobility and research productivity in a selection of top world economics departments," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 241-265, April.

  2. Panaretos, John & Malesios, Chrisovaladis, 2008. "Assessing scientific research performance and impact with single indices," MPRA Paper 12842, University Library of Munich, Germany.

    Cited by:

    1. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    2. Ozlem Inanc & Onur Tuncer, 2011. "The effect of academic inbreeding on scientific effectiveness," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 885-898, September.
    3. Baccini, A. & Barabesi, L. & Marcheselli, M. & Pratelli, L., 2012. "Statistical inference on the h-index with an application to top-scientist performance," Journal of Informetrics, Elsevier, vol. 6(4), pages 721-728.
    4. Panaretos, John & Malesios, Chrisovaladis, 2008. "Assessing scientific research performance and impact with single indices," MPRA Paper 12842, University Library of Munich, Germany.
    5. Giovanni Anania & Annarosa Caruso, 2013. "Two simple new bibliometric indexes to better evaluate research in disciplines where publications typically receive less citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 617-631, August.
    6. Lyu, Haihua & Bu, Yi & Zhao, Zhenyue & Zhang, Jiarong & Li, Jiang, 2022. "Citation bias in measuring knowledge flow: Evidence from the web of science at the discipline level," Journal of Informetrics, Elsevier, vol. 16(4).
    7. García-Pérez, Miguel A., 2012. "An extension of the h index that covers the tail and the top of the citation curve and allows ranking researchers with similar h," Journal of Informetrics, Elsevier, vol. 6(4), pages 689-699.
    8. Petridis, Konstantinos & Malesios, Chrisovalantis & Arabatzis, Garyfallos & Thanassoulis, Emmanuel, 2013. "Efficiency analysis of forestry journals: Suggestions for improving journals’ quality," Journal of Informetrics, Elsevier, vol. 7(2), pages 505-521.
    9. Bornmann, Lutz & Mutz, Rüdiger & Daniel, Hans-Dieter, 2010. "The h index research output measurement: Two approaches to enhance its accuracy," Journal of Informetrics, Elsevier, vol. 4(3), pages 407-414.
    10. Roberto Todeschini, 2011. "The j-index: a new bibliometric index and multivariate comparisons between other common indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 621-639, June.
    11. Maziar Montazerian & Edgar Dutra Zanotto & Hellmut Eckert, 2020. "Prolificacy and visibility versus reputation in the hard sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 207-221, April.
    12. Bornmann, Lutz & Mutz, Rüdiger & Hug, Sven E. & Daniel, Hans-Dieter, 2011. "A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants," Journal of Informetrics, Elsevier, vol. 5(3), pages 346-359.
    13. Edenis Cesar de Oliveira & Nilton Cezar Carraro, 2020. "Scientific Production Indexed in the Web of Science Basis in the Energy Management Area: A Bibliometric Analysis," International Business Research, Canadian Center of Science and Education, vol. 13(1), pages 206-220, January.
    14. Rok Blagus & Brane L. Leskošek & Janez Stare, 2015. "Comparison of bibliometric measures for assessing relative importance of researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1743-1762, December.
    15. Kosmulski, Marek, 2010. "Hirsch-type index of international recognition," Journal of Informetrics, Elsevier, vol. 4(3), pages 351-357.
    16. Ana Paula dos Santos Rubem & Ariane Lima Moura & João Carlos Correia Baptista Soares de Mello, 2015. "Comparative analysis of some individual bibliometric indices when applied to groups of researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 1019-1035, January.
    17. Lorna Wildgaard & Jesper W. Schneider & Birger Larsen, 2014. "A review of the characteristics of 108 author-level bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 125-158, October.
    18. Zhenbin Yan & Qiang Wu & Xingchen Li, 2016. "Do Hirsch-type indices behave the same in assessing single publications? An empirical study of 29 bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1815-1833, December.
    19. Andersen, Jens Peter, 2017. "An empirical and theoretical critique of the Euclidean index," Journal of Informetrics, Elsevier, vol. 11(2), pages 455-465.
    20. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    21. Andrea Diem & Stefan C. Wolter, 2011. "The Use of Bibliometrics to Measure Research Performance in Education Sciences," Economics of Education Working Paper Series 0066, University of Zurich, Department of Business Administration (IBW), revised May 2013.
    22. Lucio Bertoli-Barsotti & Tommaso Lando, 2017. "A theoretical model of the relationship between the h-index and other simple citation indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1415-1448, June.
    23. Eduardo Araujo Oliveira & Roberto Peicots-Filho & Daniella Reis Martelli & Isabel Gomes Quirino & Maria Christina Lopes Oliveira & Mariana Guerra Duarte & Sergio Veloso Pinheiro & Enrico Antonio Colos, 2013. "Is there a correlation between journal impact factor and researchers’ performance? A study comprising the fields of clinical nephrology and neurosciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 149-160, November.
    24. Daniele Fanelli, 2013. "Any publicity is better than none: newspaper coverage increases citations, in the UK more than in Italy," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 1167-1177, June.
    25. Christoph Bartneck & Servaas Kokkelmans, 2011. "Detecting h-index manipulation through self-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 85-98, April.
    26. Péter Vinkler, 2011. "Application of the distribution of citations among publications in scientometric evaluations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1963-1978, October.
    27. Panaretos, John & Malesios, Chrisovalandis, 2012. "Influential Mathematicians: Birth, Education and Affiliation," MPRA Paper 68046, University Library of Munich, Germany.
    28. Maziar Montazerian & Edgar Dutra Zanotto & Hellmut Eckert, 2019. "A new parameter for (normalized) evaluation of H-index: countries as a case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1065-1078, March.
    29. Carmen Anton & Nelu Florea & Silviu-Mihail Tiþã, 2012. "Comparison Of Scientific Socio-Economic Research Performances In Eastern European Universities," CES Working Papers, Centre for European Studies, Alexandru Ioan Cuza University, vol. 4(4), pages 636-647, December.
    30. Lorna Wildgaard, 2015. "A comparison of 17 author-level bibliometric indicators for researchers in Astronomy, Environmental Science, Philosophy and Public Health in Web of Science and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 873-906, September.
    31. Lucio Bertoli-Barsotti & Tommaso Lando, 2017. "The h-index as an almost-exact function of some basic statistics," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1209-1228, November.
    32. Bornmann, Lutz & Ganser, Christian & Tekles, Alexander, 2022. "Simulation of the h index use at university departments within the bibliometrics-based heuristics framework: Can the indicator be used to compare individual researchers?," Journal of Informetrics, Elsevier, vol. 16(1).
    33. Vladlen Koltun & David Hafner, 2021. "The h-index is no longer an effective correlate of scientific reputation," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-16, June.
    34. Edgar D. Zanotto & Vinicius Carvalho, 2021. "Article age- and field-normalized tools to evaluate scientific impact and momentum," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2865-2883, April.
    35. Qurat-ul Ain & Hira Riaz & Muhammad Tanvir Afzal, 2019. "Evaluation of h-index and its citation intensity based variants in the field of mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 187-211, April.
    36. Lutz Bornmann & Werner Marx, 2014. "How to evaluate individual researchers working in the natural and life sciences meaningfully? A proposal of methods based on percentiles of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 487-509, January.
    37. Miguel A. García-Pérez, 2015. "Online supplemental information: a sizeable black hole for citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1655-1659, February.
    38. Brandão, Luana Carneiro & Soares de Mello, João Carlos Correia Baptista, 2019. "A multi-criteria approach to the h-index," European Journal of Operational Research, Elsevier, vol. 276(1), pages 357-363.
    39. Muhammad Raheel & Samreen Ayaz & Muhammad Tanvir Afzal, 2018. "Evaluation of h-index, its variants and extensions based on publication age & citation intensity in civil engineering," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1107-1127, March.
    40. C. O. S. Sorzano & J. Vargas & G. Caffarena-Fernández & A. Iriarte, 2014. "Comparing scientific performance among equals," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1731-1745, December.
    41. Burgos, Albert, 2010. "Measurable utility for scientific influence," UMUFAE Economics Working Papers 16347, DIGITUM. Universidad de Murcia.
    42. Anania, Giovanni & Caruso, Annarosa, 2012. "Two New Simple Bibliometric Indexes to Better Evaluate Research in Economics," 2012 First Congress, June 4-5, 2012, Trento, Italy 124116, Italian Association of Agricultural and Applied Economics (AIEAA).
    43. Bornmann, Lutz & Daniel, Hans-Dieter, 2010. "The citation speed index: A useful bibliometric indicator to add to the h index," Journal of Informetrics, Elsevier, vol. 4(3), pages 444-446.
    44. William Cabos & Juan Miguel Campanario, 2018. "Exploring the Hjif-Index, an Analogue to the H-Like Index for Journal Impact Factors," Publications, MDPI, vol. 6(2), pages 1-11, April.
    45. Pablo Dorta-González & María-Isabel Dorta-González, 2011. "Central indexes to the citation distribution: a complement to the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 729-745, September.
    46. Bornmann, Lutz & Marx, Werner, 2012. "HistCite analysis of papers constituting the h index research front," Journal of Informetrics, Elsevier, vol. 6(2), pages 285-288.
    47. Eduardo A. Oliveira & Enrico A. Colosimo & Daniella R. Martelli & Isabel G. Quirino & Maria Christina L. Oliveira & Leonardo S. Lima & Ana Cristina Simões e Silva & Hercílio Martelli-Júnior, 2012. "Comparison of Brazilian researchers in clinical medicine: are criteria for ranking well-adjusted?," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 429-443, February.
    48. Burgos, Albert, 2010. "Ranking Scientists," UMUFAE Economics Working Papers 10609, DIGITUM. Universidad de Murcia.
    49. Lin Zhu & Donghua Zhu & Xuefeng Wang & Scott W. Cunningham & Zhinan Wang, 2019. "An integrated solution for detecting rising technology stars in co-inventor networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 137-172, October.

  3. Kiani, Mehdi & Panaretos, John & Psarakis, Stelios, 2008. "A New Procedure to Monitor the Mean of a Quality Characteristic," MPRA Paper 9066, University Library of Munich, Germany.

    Cited by:

    1. Lim, S.L. & Khoo, Michael B.C. & Teoh, W.L. & Xie, M., 2015. "Optimal designs of the variable sample size and sampling interval X¯ chart when process parameters are estimated," International Journal of Production Economics, Elsevier, vol. 166(C), pages 20-35.

  4. Kiani, Mehdi & Panaretos, John & Psarakis, Stelios, 2008. "A new procedure for monitoring the range and standard deviation of a quality characteristic," MPRA Paper 9067, University Library of Munich, Germany.

    Cited by:

    1. Lim, S.L. & Khoo, Michael B.C. & Teoh, W.L. & Xie, M., 2015. "Optimal designs of the variable sample size and sampling interval X¯ chart when process parameters are estimated," International Journal of Production Economics, Elsevier, vol. 166(C), pages 20-35.

  5. Kiani, M & Panaretos, J & Psarakis, S & Saleem, M, 2008. "Approximations to the Normal Distribution Function and An Extended Table for the Mean Range of the Normal Variables," MPRA Paper 68045, University Library of Munich, Germany.

    Cited by:

    1. Ravi Kashyap, 2016. "The Perfect Marriage and Much More: Combining Dimension Reduction, Distance Measures and Covariance," Papers 1603.09060, arXiv.org, revised Jul 2019.
    2. De Schrijver, Steven K. & Aghezzaf, El-Houssaine & Vanmaele, Hendrik, 2014. "Double precision rational approximation algorithm for the inverse standard normal second order loss function," Applied Mathematics and Computation, Elsevier, vol. 232(C), pages 247-253.
    3. Kashyap, Ravi, 2021. "Artificial Intelligence: A Child’s Play," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    4. Kashyap, Ravi, 2019. "The perfect marriage and much more: Combining dimension reduction, distance measures and covariance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).

  6. Bersimis, Sotiris & Psarakis, Stelios & Panaretos, John, 2006. "Multivariate Statistical Process Control Charts: An Overview," MPRA Paper 6399, University Library of Munich, Germany.

    Cited by:

    1. Bersimis, Sotirios & Degiannakis, Stavros & Georgakellos, Dimitrios, 2015. "Real Time Monitoring of Carbon Monoxide Using Value-at-Risk Measure and Control Charting," MPRA Paper 65865, University Library of Munich, Germany.
    2. Wen-An Yang, 2016. "Simultaneous monitoring of mean vector and covariance matrix shifts in bivariate manufacturing processes using hybrid ensemble learning-based model," Journal of Intelligent Manufacturing, Springer, vol. 27(4), pages 845-874, August.
    3. Frisén, Marianne, 2012. "Spatial outbreak detection based on inference principles for multivariate surveillance," Research Reports 2012:1, University of Gothenburg, Statistical Research Unit, School of Business, Economics and Law.
    4. Pedro Veiga & Luis Mendes & Luis Lourenço, 2016. "A retrospective view of statistical quality control research and identification of emerging trends: a bibliometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 673-692, March.
    5. Lee J. Wells & Romina Dastoorian & Jaime A. Camelio, 2021. "A novel NURBS surface approach to statistically monitor manufacturing processes with point cloud data," Journal of Intelligent Manufacturing, Springer, vol. 32(2), pages 329-345, February.
    6. Linus Schiöler & Marianne Fris�n, 2012. "Multivariate outbreak detection," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(2), pages 223-242, April.
    7. Messaoud, Amor & Weihs, Claus & Hering, Franz, 2008. "Detection of chatter vibration in a drilling process using multivariate control charts," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3208-3219, February.
    8. Athanasios Sachlas & Sotirios Bersimis & Stelios Psarakis, 2019. "Risk-Adjusted Control Charts: Theory, Methods, and Applications in Health," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(3), pages 630-658, December.
    9. Sotiris Bersimis & Markos V. Koutras & George K. Papadopoulos, 2014. "Waiting Time for an Almost Perfect Run and Applications in Statistical Process Control," Methodology and Computing in Applied Probability, Springer, vol. 16(1), pages 207-222, March.
    10. Frisén, Marianne & Andersson, Eva & Schiöler, Linus, 2009. "Evaluation of multivariate surveillance," Research Reports 2009:1, University of Gothenburg, Statistical Research Unit, School of Business, Economics and Law.
    11. Aamir Saghir & Zhengyan Lin, 2014. "Control chart for monitoring multivariate COM-Poisson attributes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(1), pages 200-214, January.
    12. Frisén, Marianne, 2011. "Methods and evaluations for surveillance in industry, business, finance, and public health," Research Reports 2011:3, University of Gothenburg, Statistical Research Unit, School of Business, Economics and Law.
    13. Sotiris Bersimis & Kostas Triantafyllopoulos, 2020. "Dynamic Non-parametric Monitoring of Air-Pollution," Methodology and Computing in Applied Probability, Springer, vol. 22(4), pages 1457-1479, December.
    14. Molly C. Klanderman & Kathryn B. Newhart & Tzahi Y. Cath & Amanda S. Hering, 2020. "Fault isolation for a complex decentralized waste water treatment facility," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(4), pages 931-951, August.
    15. Öhman, Mikael & Finne, Max & Holmström, Jan, 2015. "Measuring service outcomes for adaptive preventive maintenance," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 457-467.
    16. Bersimis, Sotiris & Panaretos, John & Psarakis, Stelios, 2005. "Multivariate Statistical Process Control Charts and the Problem of Interpretation: A Short Overview and Some Applications in Industry," MPRA Paper 6397, University Library of Munich, Germany.
    17. Nishimura, Kazuya & Matsuura, Shun & Suzuki, Hideo, 2015. "Multivariate EWMA control chart based on a variable selection using AIC for multivariate statistical process monitoring," Statistics & Probability Letters, Elsevier, vol. 104(C), pages 7-13.
    18. Athanasios C. Rakitzis & Demetrios L. Antzoulakos, 2011. "Chi-square Control Charts with Runs Rules," Methodology and Computing in Applied Probability, Springer, vol. 13(4), pages 657-669, December.
    19. Epprecht, Eugenio K. & Aparisi, Francisco & Ruiz, Omar & Veiga, Álvaro, 2013. "Reducing sampling costs in multivariate SPC with a double-dimension T2 control chart," International Journal of Production Economics, Elsevier, vol. 144(1), pages 90-104.
    20. Frisén, Marianne & Andersson, Eva & Schiöler, Linus, 2009. "Sufficient reduction in multivariate surveillance," Research Reports 2009:2, University of Gothenburg, Statistical Research Unit, School of Business, Economics and Law.
    21. Bei Wang & Xuefeng Yan, 2019. "Real-time monitoring of chemical processes based on variation information of principal component analysis model," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 795-808, February.
    22. Vanajah Siva, 2012. "Improvement in Product Development: Use of back-end data to support upstream efforts of Robust Design Methodology," Quality Innovation Prosperity, Technical University of Košice, Department of integrated management, vol. 16(2).
    23. Dong Ding & Fugee Tsung & Jian Li, 2016. "Directional control schemes for processes with mixed-type data," International Journal of Production Research, Taylor & Francis Journals, vol. 54(6), pages 1594-1609, March.
    24. Jian Li & Fugee Tsung & Changliang Zou, 2013. "Directional change‐point detection for process control with multivariate categorical data," Naval Research Logistics (NRL), John Wiley & Sons, vol. 60(2), pages 160-173, March.
    25. Aven, Terje, 2014. "On the meaning of the special-cause variation concept used in the quality discourse – And its link to unforeseen and surprising events in risk management," Reliability Engineering and System Safety, Elsevier, vol. 126(C), pages 81-86.
    26. Dariush Najarzadeh, 2019. "Testing equality of standardized generalized variances of k multivariate normal populations with arbitrary dimensions," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(4), pages 593-623, December.
    27. Jing-Er Chiu & Tsen-I Kuo, 2010. "Control charts for fraction nonconforming in a bivariate binomial process," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(10), pages 1717-1728.
    28. Nasser M. Hamdan & Hussain Alawadhi & Najeh Jisrawi & Mohamed Shameer, 2018. "Characterization of Fine Particulate Matter in Sharjah, United Arab Emirates Using Complementary Experimental Techniques," Sustainability, MDPI, vol. 10(4), pages 1-17, April.
    29. Amir Ahmadi-Javid & Mohsen Ebadi, 2021. "Economic design of memory-type control charts: The fallacy of the formula proposed by Lorenzen and Vance (1986)," Computational Statistics, Springer, vol. 36(1), pages 661-690, March.
    30. Wenjuan Liang & Xiaolong Pu & Dongdong Xiang, 2017. "A distribution-free multivariate CUSUM control chart using dynamic control limits," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(11), pages 2075-2093, August.

  7. Panaretos, John & Psarakis, Stelios & Xekalaki, Evdokia & Karlis, Dimitris, 2005. "The Correlated Gamma-Ratio Distribution in Model Evaluation and Selection," MPRA Paper 6355, University Library of Munich, Germany.

    Cited by:

    1. Panaretos, John & Psarakis, Stelios & Xekalaki, Evdokia, 1998. "On a Distribution Arising in the Context of Comparative Model Performance Evaluation Problems," MPRA Paper 6276, University Library of Munich, Germany.
    2. Xekalaki, Evdokia & Panaretos, John & Psarakis, Stelios, 2003. "A Predictive Model Evaluation and Selection Approach - The Correlated Gamma Ratio Distribution," MPRA Paper 6389, University Library of Munich, Germany.

  8. Bersimis, Sotiris & Panaretos, John & Psarakis, Stelios, 2005. "Multivariate Statistical Process Control Charts and the Problem of Interpretation: A Short Overview and Some Applications in Industry," MPRA Paper 6397, University Library of Munich, Germany.

    Cited by:

    1. Chen, Yikai & Durango-Cohen, Pablo L., 2015. "Development and field application of a multivariate statistical process control framework for health-monitoring of transportation infrastructure," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 78-102.
    2. Nasir Abbas & Muhammad Riaz & Shabbir Ahmad & Muhammad Abid & Babar Zaman, 2020. "On the Efficient Monitoring of Multivariate Processes with Unknown Parameters," Mathematics, MDPI, vol. 8(5), pages 1-32, May.

  9. Tsourti, Zoi & Panaretos, John, 2004. "Extreme Value Analysis of Teletraffic Data," MPRA Paper 6391, University Library of Munich, Germany.

    Cited by:

    1. Lorenzo Hern'andez & Jorge Tejero & Alberto Su'arez & Santiago Carrillo-Men'endez, 2012. "Percentiles of sums of heavy-tailed random variables: Beyond the single-loss approximation," Papers 1203.2564, arXiv.org, revised Dec 2012.

  10. Maravelakis, Petros & Panaretos, John & Psarakis, Stelios, 2004. "EWMA Chart and Measurement Error," MPRA Paper 6392, University Library of Munich, Germany.

    Cited by:

    1. K.P. Tran & P. Castagliola & G. Celano, 2016. "The performance of the Shewhart-RZ control chart in the presence of measurement error," International Journal of Production Research, Taylor & Francis Journals, vol. 54(24), pages 7504-7522, December.
    2. Chakraborty Ashit B. & Khurshid Anwer, 2013. "Measurement Error Effect on the Power of Control Chart for the Ratio of Two Poisson Distributions," Stochastics and Quality Control, De Gruyter, vol. 28(1), pages 15-21, October.
    3. Su-Fen Yang & Li-Pang Chen & Cheng-Kuan Lin, 2023. "Adjustment of Measurement Error Effects on Dispersion Control Chart with Distribution-Free Quality Variable," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    4. Isabel González & Ismael Sánchez, 2009. "On‐line evaluation of the stability of an inspection process," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(6), pages 719-736, November.
    5. Petros E. Maravelakis, 2012. "Measurement error effect on the CUSUM control chart," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(2), pages 323-336, May.
    6. XueLong Hu & Philippe Castagliola & JinSheng Sun & Michael Boon Chong Khoo, 2016. "Effect of measurement errors on the VSI X chart," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 10(2), pages 224-242.
    7. Wenhui Liu & Zhonghua Li & Zhaojun Wang, 2022. "Monitoring of Linear Profiles Using Linear Mixed Model in the Presence of Measurement Errors," Mathematics, MDPI, vol. 10(24), pages 1-17, December.
    8. E. Andersson & D. Bock & M. Frisen, 2006. "Some statistical aspects of methods for detection of turning points in business cycles," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(3), pages 257-278.
    9. Antonio F. B. Costa & Philippe Castagliola, 2011. "Effect of measurement error and autocorrelation on the X¯ chart," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(4), pages 661-673, December.

  11. Maravelakis, Petros & Perakis, Michael & Psarakis, Stelios & Panaretos, John, 2003. "The Use of Indices in Surveys," MPRA Paper 6388, University Library of Munich, Germany.

    Cited by:

    1. Perakis, Michael & Maravelakis, Petros & Psarakis, Stelios & Xekalaki, Evdokia & Panaretos, John, 2001. "On Certain Indices for Ordinal Data with Unequally Weighted Classes," MPRA Paper 6385, University Library of Munich, Germany.
    2. Rainer Göb & Christopher McCollin & Maria Ramalhoto, 2007. "Ordinal Methodology in the Analysis of Likert Scales," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(5), pages 601-626, October.

  12. Xekalaki, Evdokia & Panaretos, John & Psarakis, Stelios, 2003. "A Predictive Model Evaluation and Selection Approach - The Correlated Gamma Ratio Distribution," MPRA Paper 6389, University Library of Munich, Germany.

    Cited by:

    1. Xekalaki, Evdokia & Degiannakis, Stavros, 2005. "Evaluating volatility forecasts in option pricing in the context of a simulated options market," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 611-629, April.
    2. Degiannakis, Stavros & Xekalaki, Evdokia, 2007. "Assessing the Performance of a Prediction Error Criterion Model Selection Algorithm in the Context of ARCH Models," MPRA Paper 96324, University Library of Munich, Germany.
    3. Vasilios Sogiakas, 2017. "Option trading for optimizing volatility forecasting," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 6(3), pages 1-3.
    4. Stavros Degiannakis & Evdokia Xekalaki, 2005. "Predictability and model selection in the context of ARCH models," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 21(1), pages 55-82, January.
    5. Xekalaki, Evdokia & Panaretos, John, 2004. "A Binomial Distribution With Dependent Trials And Its Use in Stochastic Model Evaluation," MPRA Paper 6393, University Library of Munich, Germany.

  13. Tsourti, Zoi & Panaretos, John, 2003. "Extreme Value Index Estimators and Smoothing Alternatives: A Critical Review," MPRA Paper 6390, University Library of Munich, Germany.

    Cited by:

    1. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
    2. Ivanilda Cabral & Frederico Caeiro & M. Ivette Gomes, 2022. "On the comparison of several classical estimators of the extreme value index," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 51(1), pages 179-196, January.

  14. Maravelakis, Petros & Panaretos, John & Psarakis, Stelios, 2002. "Effect of Estimation of the Process Parameters on the Control Limits of the Univariate Control Charts for Process Dispersion," MPRA Paper 6386, University Library of Munich, Germany.

    Cited by:

    1. Kiani, Mehdi & Panaretos, John & Psarakis, Stelios, 2008. "A New Procedure to Monitor the Mean of a Quality Characteristic," MPRA Paper 9066, University Library of Munich, Germany.
    2. Majid Ahmadabadi & Yaghub Farjami & Mohammad Bameni Moghadam, 2012. "A process control method based on five-parameter generalized lambda distribution," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(4), pages 1097-1111, June.
    3. Johannssen, Arne & Chukhrova, Nataliya & Castagliola, Philippe, 2022. "The performance of the hypergeometric np chart with estimated parameter," European Journal of Operational Research, Elsevier, vol. 296(3), pages 873-899.

  15. Maravelakis, Petros & Bersimis, Sotiris & Panaretos, John & Psarakis, Stelios, 2002. "Identifying the Out of Control Variable in a Multivariate Control Chart," MPRA Paper 6387, University Library of Munich, Germany.

    Cited by:

    1. Petros Maravelakis & Sotirios Bersimis, 2009. "The use of Andrews curves for detecting the out-of-control variables when a multivariate control chart signals," Statistical Papers, Springer, vol. 50(1), pages 51-65, January.

  16. Psarakis, Stelios & Panaretos, John, 2001. "On Some Bivariate Extensions of the Folded Normal and the Folded-T Distributions," MPRA Paper 6383, University Library of Munich, Germany.

    Cited by:

    1. Michail Tsagris & Christina Beneki & Hossein Hassani, 2014. "On the Folded Normal Distribution," Mathematics, MDPI, vol. 2(1), pages 1-17, February.
    2. Xi Liu & Yiqiao Jin & Yifan Yang & Xiaoqing Pan, 2023. "Properties and Estimations of a Multivariate Folded Normal Distribution," Mathematics, MDPI, vol. 11(23), pages 1-15, December.
    3. Kourtis, Apostolos, 2014. "On the distribution and estimation of trading costs," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 104-117.

  17. Tsourti, Zoi & Panaretos, John, 2001. "Extreme Value Index Estimators and Smoothing Alternatives: Review and Simulation Comparison," MPRA Paper 6384, University Library of Munich, Germany.

    Cited by:

    1. Tsourti, Zoi & Panaretos, John, 2004. "Extreme-value analysis of teletraffic data," Computational Statistics & Data Analysis, Elsevier, vol. 45(1), pages 85-103, February.
    2. Mohamed El Ghourabi & Asma Nani & Imed Gammoudi, 2021. "A value‐at‐risk computation based on heavy‐tailed distribution for dynamic conditional score models," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2790-2799, April.
    3. Imed Gammoudi & Lotfi BelKacem & Mohamed El Ghourabi, 2014. "Value at Risk Estimation for Heavy Tailed Distributions," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 8(3), pages 109-125.

  18. Perakis, Michael & Maravelakis, Petros & Psarakis, Stelios & Xekalaki, Evdokia & Panaretos, John, 2001. "On Certain Indices for Ordinal Data with Unequally Weighted Classes," MPRA Paper 6385, University Library of Munich, Germany.

    Cited by:

    1. André Fonseca & Vera Zina & Gonçalo Duarte & Francisca C. Aguiar & Patricia María Rodríguez-González & Maria Teresa Ferreira & Maria Rosário Fernandes, 2021. "Riparian Ecological Infrastructures: Potential for Biodiversity-Related Ecosystem Services in Mediterranean Human-Dominated Landscapes," Sustainability, MDPI, vol. 13(19), pages 1-21, September.

  19. Psarakis, Stelios & Panaretos, John, 1990. "The Folded t Distribution," MPRA Paper 6257, University Library of Munich, Germany.

    Cited by:

    1. Moming Li & Guoqing Diao & Jing Qin, 2020. "On symmetric semiparametric two‐sample problem," Biometrics, The International Biometric Society, vol. 76(4), pages 1216-1228, December.
    2. Michail Tsagris & Christina Beneki & Hossein Hassani, 2014. "On the Folded Normal Distribution," Mathematics, MDPI, vol. 2(1), pages 1-17, February.
    3. Psarakis, Stelios & Panaretos, John, 2001. "On Some Bivariate Extensions of the Folded Normal and the Folded-T Distributions," MPRA Paper 6383, University Library of Munich, Germany.
    4. Liu, Xiaochun, 2017. "Unfolded risk-return trade-offs and links to Macroeconomic Dynamics," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 1-19.
    5. Liu, Xiaochun & Luger, Richard, 2015. "Unfolded GARCH models," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 186-217.

  20. Panaretos, John, 1989. "On the Evolution of Surnames," MPRA Paper 6255, University Library of Munich, Germany.

    Cited by:

    1. Zornig, Peter & Altmann, Gabriel, 1995. "Unified representation of Zipf distributions," Computational Statistics & Data Analysis, Elsevier, vol. 19(4), pages 461-473, April.
    2. Luis F Lafuerza & Raul Toral, 2011. "Evolution of Surname Distribution under Gender-Equality Measures," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-4, April.
    3. De Luca, Andrea & Rossi, Paolo, 2009. "Renormalization group evaluation of exponents in family name distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(17), pages 3609-3614.

  21. Panaretos, John, 1989. "A Probability Model Involving the Use of the Zero-Truncated Yule Distribution for Analysing Surname Data," MPRA Paper 6254, University Library of Munich, Germany.

    Cited by:

    1. Panaretos, John, 1989. "On the Evolution of Surnames," MPRA Paper 6255, University Library of Munich, Germany.

  22. Panaretos, John & Xekalaki, Evdokia, 1989. "A Probability Distribution Associated With Events With Multiple Occurrences," MPRA Paper 6253, University Library of Munich, Germany.

    Cited by:

    1. Anant Godbole & Stavros Papastavridis & Robert Weishaar, 1997. "Formulae and Recursions for the Joint Distribution of Success Runs of Several Lengths," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 49(1), pages 141-153, March.

  23. Xekalaki, Evdokia & Panaretos, John, 1989. "On Some Distributions Arising in Inverse Cluster Sampling," MPRA Paper 6252, University Library of Munich, Germany.

    Cited by:

    1. C. Satheesh Kumar & A. Riyaz, 2015. "A zero-inflated logarithmic series distribution of order k and its applications," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(1), pages 31-43, January.

  24. Panaretos, John & Xekalaki, Evdokia, 1986. "On Some Distributions Arising from Certain Generalized Sampling Schemes," MPRA Paper 6249, University Library of Munich, Germany.

    Cited by:

    1. C. Satheesh Kumar & A. Riyaz, 2015. "A zero-inflated logarithmic series distribution of order k and its applications," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(1), pages 31-43, January.
    2. C. Satheesh Kumar & A. Riyaz, 2016. "An order version of the alternative zero-inflated logarithmic series distribution and its applications," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(14), pages 2681-2695, October.
    3. Sigeo Aki, 2012. "Statistical modeling for discrete patterns in a sequence of exchangeable trials," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(3), pages 633-655, June.

  25. Panaretos, John & Xekalaki, Evdokia, 1986. "On Generalized Binomial and Multinomial Distributions and Their Relation to Generalized Poisson Distributions," MPRA Paper 6248, University Library of Munich, Germany.

    Cited by:

    1. Panaretos, John & Xekalaki, Evdokia, 1986. "The stuttering generalized waring distribution," Statistics & Probability Letters, Elsevier, vol. 4(6), pages 313-318, October.
    2. Panaretos, John & Xekalaki, Evdokia, 1989. "A probability distribution associated with events with multiple occurrences," Statistics & Probability Letters, Elsevier, vol. 8(4), pages 389-395, September.

  26. Panaretos, John & Xekalaki, Evdokia, 1986. "The Stuttering Generalized Waring Distribution," MPRA Paper 6250, University Library of Munich, Germany.

    Cited by:

    1. Wolfgang Glänzel, 2009. "The multi-dimensionality of journal impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 355-374, February.
    2. Gupta, Arjun K. & Nguyen, Truc T. & Wang, Yinning & Wesolowski, Jacek, 2001. "Identifiability of Modified Power Series Mixtures via Posterior Means," Journal of Multivariate Analysis, Elsevier, vol. 77(2), pages 163-174, May.
    3. Lin Zhang & Wolfgang Glänzel & Liming Liang, 2009. "Tracing the role of individual journals in a cross-citation network based on different indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 821-838, December.
    4. Shi Shan & Guohua Jiang & Lan Jiang, 2004. "The multivariate Waring distribution and its application," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 523-535, August.
    5. Panaretos, John, 1989. "Some Properties and Applications of the Stuttering Generalized Waring Distribution," MPRA Paper 6256, University Library of Munich, Germany.
    6. Haab, T. C., 2003. "Temporal correlation in recreation demand models with limited data," Journal of Environmental Economics and Management, Elsevier, vol. 45(2), pages 195-212, March.
    7. Panaretos, John & Xekalaki, Evdokia, 1989. "A probability distribution associated with events with multiple occurrences," Statistics & Probability Letters, Elsevier, vol. 8(4), pages 389-395, September.
    8. Panaretos, John & Xekalaki, Evdokia, 1986. "On Some Distributions Arising from Certain Generalized Sampling Schemes," MPRA Paper 6249, University Library of Munich, Germany.
    9. Saras Sarasvathy & Anil Menon & Graciela Kuechle, 2013. "Failing firms and successful entrepreneurs: serial entrepreneurship as a temporal portfolio," Small Business Economics, Springer, vol. 40(2), pages 417-434, February.
    10. Kemp, Adrienne W., 2013. "New discrete Appell and Humbert distributions with relevance to bivariate accident data," Journal of Multivariate Analysis, Elsevier, vol. 113(C), pages 2-6.
    11. José Rodríguez-Avi & Antonio Conde-Sánchez & Antonio Sáez-Castillo & María Olmo-Jiménez, 2004. "A triparametric discrete distribution with complex parameters," Statistical Papers, Springer, vol. 45(1), pages 81-95, January.
    12. Xekalaki, Evdokia & Panaretos, John, 1983. "Identifiability of Compound Poisson Distributions," MPRA Paper 6244, University Library of Munich, Germany.
    13. Valentina Cueva-López & María José Olmo-Jiménez & José Rodríguez-Avi, 2021. "An Over and Underdispersed Biparametric Extension of the Waring Distribution," Mathematics, MDPI, vol. 9(2), pages 1-15, January.
    14. María Dolores Huete-Morales & Juan Antonio Marmolejo-Martín, 2020. "The Waring Distribution as a Low-Frequency Prediction Model: A Study of Organic Livestock Farms in Andalusia," Mathematics, MDPI, vol. 8(11), pages 1-11, November.

  27. Panaretos, John, 1983. "A Generating Model Involving Pascal and Logarithmic Series Distributions," MPRA Paper 6246, University Library of Munich, Germany.

    Cited by:

    1. Panaretos, John & Xekalaki, Evdokia, 1986. "The stuttering generalized waring distribution," Statistics & Probability Letters, Elsevier, vol. 4(6), pages 313-318, October.

  28. Xekalaki, Evdokia & Panaretos, John, 1983. "Identifiability of Compound Poisson Distributions," MPRA Paper 6244, University Library of Munich, Germany.

    Cited by:

    1. Panaretos, John & Xekalaki, Evdokia, 1986. "The stuttering generalized waring distribution," Statistics & Probability Letters, Elsevier, vol. 4(6), pages 313-318, October.
    2. Panaretos, John & Xekalaki, Evdokia, 1986. "On Generalized Binomial and Multinomial Distributions and Their Relation to Generalized Poisson Distributions," MPRA Paper 6248, University Library of Munich, Germany.

  29. Panaretos, John, 1982. "An Extension of the Damage Model," MPRA Paper 6230, University Library of Munich, Germany.

    Cited by:

    1. Xekalaki, Evdokia & Panaretos, John, 1979. "Characterization of the Compound Poisson Distribution," MPRA Paper 6221, University Library of Munich, Germany.
    2. Xekalaki, Evdokia & Panaretos, John, 1983. "Identifiability of Compound Poisson Distributions," MPRA Paper 6244, University Library of Munich, Germany.

  30. Panaretos, John, 1982. "On Characterizing Some Discrete Distributions Using an Extension of the Rao-Rubin Theorem," MPRA Paper 6229, University Library of Munich, Germany.

    Cited by:

    1. Panaretos, John, 1981. "On the Joint Distribution of Two Discrete Random Variables," MPRA Paper 6226, University Library of Munich, Germany.
    2. Panaretos, John, 1982. "On a Structural Property of Finite Distributions," MPRA Paper 6242, University Library of Munich, Germany.
    3. Panaretos, John, 1983. "On Some Bivariate Discrete Distributions with Multivariate Components," MPRA Paper 68041, University Library of Munich, Germany.

  31. Panaretos, John, 1982. "On a Structural Property of Finite Distributions," MPRA Paper 6242, University Library of Munich, Germany.

    Cited by:

    1. Panaretos, John, 1984. "Partial Independence and Finite Distributions," MPRA Paper 6247, University Library of Munich, Germany.

  32. Panaretos, John, 1981. "On the Relationship between the Conditional and Unconditional Distribution of a Random Variable," MPRA Paper 6228, University Library of Munich, Germany.

    Cited by:

    1. Xekalaki, Evdokia & Panaretos, John, 1983. "Identifiability of Compound Poisson Distributions," MPRA Paper 6244, University Library of Munich, Germany.

  33. Panaretos, John, 1981. "A Characterization of the Negative Multinomial Distribution," MPRA Paper 6227, University Library of Munich, Germany.

    Cited by:

    1. Panaretos, John, 1983. "On Some Bivariate Discrete Distributions with Multivariate Components," MPRA Paper 68041, University Library of Munich, Germany.

  34. Panaretos, John, 1981. "On the Joint Distribution of Two Discrete Random Variables," MPRA Paper 6226, University Library of Munich, Germany.

    Cited by:

    1. Panaretos, John, 1983. "On Some Bivariate Discrete Distributions with Multivariate Components," MPRA Paper 68041, University Library of Munich, Germany.
    2. Panaretos, John, 1984. "Partial Independence and Finite Distributions," MPRA Paper 6247, University Library of Munich, Germany.

  35. Xekalaki, Evdokia & Panaretos, John, 1979. "Characterization of the Compound Poisson Distribution," MPRA Paper 6221, University Library of Munich, Germany.

    Cited by:

    1. Panaretos, John, 1981. "On the Joint Distribution of Two Discrete Random Variables," MPRA Paper 6226, University Library of Munich, Germany.
    2. Panaretos, John, 1982. "On a Structural Property of Finite Distributions," MPRA Paper 6242, University Library of Munich, Germany.

Articles

  1. M. Kiani & J. Panaretos & S. Psarakis, 2010. "A new procedure for monitoring the range and standard deviation of a quality characteristic," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(1), pages 1-24, January.
    See citations under working paper version above.
  2. M. Perakis & P. Maravelakis & S. Psarakis & E. Xekalaki & J. Panaretos, 2005. "On Certain Indices for Ordinal Data with Unequally Weighted Classes," Quality & Quantity: International Journal of Methodology, Springer, vol. 39(5), pages 515-536, October.
    See citations under working paper version above.
  3. Tsourti, Zoi & Panaretos, John, 2004. "Extreme-value analysis of teletraffic data," Computational Statistics & Data Analysis, Elsevier, vol. 45(1), pages 85-103, February.
    See citations under working paper version above.
  4. Petros Maravelakis & John Panaretos & Stelios Psarakis, 2004. "EWMA Chart and Measurement Error," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(4), pages 445-455.
    See citations under working paper version above.
  5. P. Maravelakis & M. Perakis & S. Psarakis & J. Panaretos, 2003. "The Use of Indices in Surveys," Quality & Quantity: International Journal of Methodology, Springer, vol. 37(1), pages 1-19, February.
    See citations under working paper version above.
  6. Panaretos, John & Xekalaki, Evdokia, 1989. "A probability distribution associated with events with multiple occurrences," Statistics & Probability Letters, Elsevier, vol. 8(4), pages 389-395, September.
    See citations under working paper version above.
  7. Panaretos, John & Xekalaki, Evdokia, 1986. "The stuttering generalized waring distribution," Statistics & Probability Letters, Elsevier, vol. 4(6), pages 313-318, October.
    See citations under working paper version above.
  8. J. Panaretos, 1982. "An extension of the damage model," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 29(1), pages 189-194, December.
    See citations under working paper version above.Sorry, no citations of articles recorded.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.