IDEAS home Printed from https://ideas.repec.org/r/bla/biomet/v57y2001i1p219-223.html
   My bibliography  Save this item

A Score Test for Testing a Zero‐Inflated Poisson Regression Model Against Zero‐Inflated Negative Binomial Alternatives

Citations

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


Cited by:

  1. Zhen Xu & G. Cornelis van Kooten, 2013. "Count Models and Wildfire in British Columbia," Working Papers 2013-06, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
  2. João Albino-Pimentel & Jennifer Oetzel & Chang Hoon Oh & Nicholas A. Poggioli, 2021. "Positive institutional changes through peace: The relative effects of peace agreements and non-market capabilities on FDI," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(7), pages 1256-1278, September.
  3. Loni Philip Tabb & Eric J. Tchetgen Tchetgen & Greg A. Wellenius & Brent A. Coull, 2016. "Marginalized Zero-Altered Models for Longitudinal Count Data," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 8(2), pages 181-203, October.
  4. Stephane R. ROBIN, 2002. "The effect of supervision on Ph.D. duration, publications and job outcomes," LIDAM Discussion Papers IRES 2002041, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
  5. Livio Finos & Fortunato Pesarin, 2020. "On zero-inflated permutation testing and some related problems," Statistical Papers, Springer, vol. 61(5), pages 2157-2174, October.
  6. Cai, Tianji & Xia, Yiwei & Zhou, Yisu, 2017. "Generalized Inflated Discrete Models: A Strategy to Work with Multimodal Discrete Distributions," SocArXiv 4r2j3, Center for Open Science.
  7. Jiayu Huang & Jie Yang & Zhangrong Gu & Wei Zhu & Song Wu, 2021. "A Constrained Generalized Functional Linear Model for Multi-Loci Genetic Mapping," Stats, MDPI, vol. 4(3), pages 1-28, June.
  8. Yin Liu & Guo-Liang Tian & Qin Wu & Man-Lai Tang, 2019. "Poisson–Poisson item count techniques for surveys with sensitive discrete quantitative data," Statistical Papers, Springer, vol. 60(5), pages 1763-1791, October.
  9. Garay, Aldo M. & Hashimoto, Elizabeth M. & Ortega, Edwin M.M. & Lachos, Víctor H., 2011. "On estimation and influence diagnostics for zero-inflated negative binomial regression models," Computational Statistics & Data Analysis, Elsevier, vol. 55(3), pages 1304-1318, March.
  10. Olivier Thas & J. C. W. Rayner, 2005. "Smooth Tests for the Zero-Inflated Poisson Distribution," Biometrics, The International Biometric Society, vol. 61(3), pages 808-815, September.
  11. Bedrick, Edward J. & Hossain, Anwar, 2013. "Conditional tests for homogeneity of zero-inflated Poisson and Poisson-hurdle distributions," Computational Statistics & Data Analysis, Elsevier, vol. 61(C), pages 99-106.
  12. Feng-Chang Xie & Jin-Guan Lin & Bo-Cheng Wei, 2014. "Bayesian zero-inflated generalized Poisson regression model: estimation and case influence diagnostics," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(6), pages 1383-1392, June.
  13. R. Randriamboarison & F. Rasoamanajara & B. Solonandrasana, 2013. "Tourism Return Frequency Demand in Madagascar," Tourism Economics, , vol. 19(4), pages 943-958, August.
  14. Jussiane Nader Gonçalves & Wagner Barreto-Souza, 2020. "Flexible regression models for counts with high-inflation of zeros," METRON, Springer;Sapienza Università di Roma, vol. 78(1), pages 71-95, April.
  15. Moghimbeigi, Abbas & Eshraghian, Mohammad Reza & Mohammad, Kazem & McArdle, Brian, 2009. "A score test for zero-inflation in multilevel count data," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1239-1248, February.
  16. Wenchen Liu & Yincai Tang & Ancha Xu, 2021. "Zero-and-one-inflated Poisson regression model," Statistical Papers, Springer, vol. 62(2), pages 915-934, April.
  17. Wei-Wen Hsu & David Todem & Kyungmann Kim, 2015. "Adjusted Supremum Score-Type Statistics for Evaluating Non-Standard Hypotheses," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(3), pages 746-759, September.
  18. Yuanyuan Zhang & Yuming Zhang, 2018. "Associations between Public Transit Usage and Bikesharing Behaviors in The United States," Sustainability, MDPI, vol. 10(6), pages 1-20, June.
  19. H. He & W. Wang & J. Hu & R. Gallop & P. Crits-Christoph & Y. Xia, 2015. "Distribution-free inference of zero-inflated binomial data for longitudinal studies," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(10), pages 2203-2219, October.
  20. Jansakul, N. & Hinde, J. P., 2002. "Score Tests for Zero-Inflated Poisson Models," Computational Statistics & Data Analysis, Elsevier, vol. 40(1), pages 75-96, July.
  21. Hadi Saboori & Mahdi Doostparast, 2024. "Control Charts Based on Zero to k Inflated Power Series Regression Models and Their Applications," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 86(2), pages 442-476, November.
  22. David Todem & Wei-Wen Hsu & KyungMann Kim, 2012. "On the Efficiency of Score Tests for Homogeneity in Two-Component Parametric Models for Discrete Data," Biometrics, The International Biometric Society, vol. 68(3), pages 975-982, September.
  23. D. Todem & Y. Zhang & A. Ismail & W. Sohn, 2010. "Random effects regression models for count data with excess zeros in caries research," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(10), pages 1661-1679.
  24. Maria del Carmen Melgar & Jose Antonio Ordaz, 2010. "The Utility Of Zero-Inflated Models In The Estimation Of The Number Of Accidents In The Automobile Insurance Industry," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 5(2), pages 181-194, December.
  25. Jiang, Yuan & House, Lisa A., 2017. "Comparison of the Performance of Count Data Models under Different Zero-Inflation Scenarios Using Simulation Studies," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258342, Agricultural and Applied Economics Association.
  26. Tousifur Rahman & Partha Jyoti Hazarika & M. Masoom Ali & Manash Pratim Barman, 2022. "Three-Inflated Poisson Distribution and its Application in Suicide Cases of India During Covid-19 Pandemic," Annals of Data Science, Springer, vol. 9(5), pages 1103-1127, October.
  27. Daniel Baier & Björn Stöcker, 2022. "Profit uplift modeling for direct marketing campaigns: approaches and applications for online shops," Journal of Business Economics, Springer, vol. 92(4), pages 645-673, May.
  28. Baíllo, A. & Berrendero, J.R. & Cárcamo, J., 2009. "Tests for zero-inflation and overdispersion: A new approach based on the stochastic convex order," Computational Statistics & Data Analysis, Elsevier, vol. 53(7), pages 2628-2639, May.
  29. Yixuan Zou & Jan Hannig & Derek S. Young, 2021. "Generalized fiducial inference on the mean of zero-inflated Poisson and Poisson hurdle models," Journal of Statistical Distributions and Applications, Springer, vol. 8(1), pages 1-15, December.
  30. Byoung Cheol Jung & Myoungshic Jhun & Jae Won Lee, 2005. "Bootstrap Tests for Overdispersion in a Zero-Inflated Poisson Regression Model," Biometrics, The International Biometric Society, vol. 61(2), pages 626-628, June.
  31. Lim, Hwa Kyung & Song, Juwon & Jung, Byoung Cheol, 2013. "Score tests for zero-inflation and overdispersion in two-level count data," Computational Statistics & Data Analysis, Elsevier, vol. 61(C), pages 67-82.
  32. Baksh, M. Fazil & Böhning, Dankmar & Lerdsuwansri, Rattana, 2011. "An extension of an over-dispersion test for count data," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 466-474, January.
  33. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
  34. Gul Inan & John Preisser & Kalyan Das, 2018. "A Score Test for Testing a Marginalized Zero-Inflated Poisson Regression Model Against a Marginalized Zero-Inflated Negative Binomial Regression Model," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 23(1), pages 113-128, March.
  35. Habtamu K. Benecha & Brian Neelon & Kimon Divaris & John S. Preisser, 2017. "Marginalized mixture models for count data from multiple source populations," Journal of Statistical Distributions and Applications, Springer, vol. 4(1), pages 1-17, December.
  36. Feria-Domínguez, José Manuel & Jiménez-Rodríguez, Enrique & Sholarin, Ola, 2015. "Tackling the over-dispersion of operational risk: Implications on capital adequacy requirements," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 206-221.
  37. Tianji Cai & Yiwei Xia & Yisu Zhou, 2021. "Generalized Inflated Discrete Models: A Strategy to Work with Multimodal Discrete Distributions," Sociological Methods & Research, , vol. 50(1), pages 365-400, February.
  38. Xie, Feng-Chang & Wei, Bo-Cheng & Lin, Jin-Guan, 2009. "Score tests for zero-inflated generalized Poisson mixed regression models," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3478-3489, July.
  39. Liu, Juxin & Ma, Yanyuan & Johnstone, Jill, 2020. "A goodness-of-fit test for zero-inflated Poisson mixed effects models in tree abundance studies," Computational Statistics & Data Analysis, Elsevier, vol. 144(C).
  40. Lee, Keunbaik & Joo, Yongsung & Song, Joon Jin & Harper, Dee Wood, 2011. "Analysis of zero-inflated clustered count data: A marginalized model approach," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 824-837, January.
  41. Wang, Peiming & Alba, Joseph D., 2006. "A zero-inflated negative binomial regression model with hidden Markov chain," Economics Letters, Elsevier, vol. 92(2), pages 209-213, August.
  42. Yang, Zhao & Hardin, James W. & Addy, Cheryl L., 2010. "Score tests for overdispersion in zero-inflated Poisson mixed models," Computational Statistics & Data Analysis, Elsevier, vol. 54(5), pages 1234-1246, May.
  43. Dimuthu Fernando & Mohammed Alqawba & Manar Samad & Norou Diawara, 2022. "Review of Copula for Bivariate Distributions of Zero-Inflated Count Time Series Data," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 11(6), pages 1-52, November.
  44. Soutik Ghosal & Timothy S. Lau & Jeremy Gaskins & Maiying Kong, 2020. "A hierarchical mixed effect hurdle model for spatiotemporal count data and its application to identifying factors impacting health professional shortages," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(5), pages 1121-1144, November.
  45. Aldo M. Garay & Victor H. Lachos & Heleno Bolfarine, 2015. "Bayesian estimation and case influence diagnostics for the zero-inflated negative binomial regression model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(6), pages 1148-1165, June.
  46. Dimitris Rizopoulos & Geert Verbeke & Emmanuel Lesaffre & Yves Vanrenterghem, 2008. "A Two-Part Joint Model for the Analysis of Survival and Longitudinal Binary Data with Excess Zeros," Biometrics, The International Biometric Society, vol. 64(2), pages 611-619, June.
  47. Derek S. Young & Andrew M. Raim & Nancy R. Johnson, 2017. "Zero-inflated modelling for characterizing coverage errors of extracts from the US Census Bureau's Master Address File," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 73-97, January.
  48. Abbas Moghimbeigi & Mohammed Reza Eshraghian & Kazem Mohammad & Brian Mcardle, 2008. "Multilevel zero-inflated negative binomial regression modeling for over-dispersed count data with extra zeros," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(10), pages 1193-1202.
  49. Hossein Zamani & Noriszura Ismail, 2013. "Score test for testing zero-inflated Poisson regression against zero-inflated generalized Poisson alternatives," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(9), pages 2056-2068, September.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.