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Overdispersion: Models and estimation

Citations

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Cited by:

  1. Yadav P. Joshi & Jong-Hun Kim & Ho Kim & Hae-Kwan Cheong, 2018. "Impact of Drinking Water Quality on the Development of Enteroviral Diseases in Korea," IJERPH, MDPI, vol. 15(11), pages 1-15, November.
  2. Katiane S. Conceição & Marinho G. Andrade & Victor Hugo Lachos & Nalini Ravishanker, 2024. "Bayesian Inference for Zero-Modified Power Series Regression Models," Mathematics, MDPI, vol. 13(1), pages 1-30, December.
  3. Katiane S. Conceição & Marinho G. Andrade & Francisco Louzada & Nalini Ravishanker, 2022. "Characterizations and generalizations of the negative binomial distribution," Computational Statistics, Springer, vol. 37(3), pages 1255-1286, July.
  4. Maria Iannario, 2015. "Detecting latent components in ordinal data with overdispersion by means of a mixture distribution," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 977-987, May.
  5. Steven Abrams & Marc Aerts & Geert Molenberghs & Niel Hens, 2017. "Parametric overdispersed frailty models for current status data," Biometrics, The International Biometric Society, vol. 73(4), pages 1388-1400, December.
  6. Nasim Vahabi & Anoshirvan Kazemnejad & Somnath Datta, 2018. "A Marginalized Overdispersed Location Scale Model for Clustered Ordinal Data," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 80(1), pages 103-134, December.
  7. Aris Perperoglou & Paul Eilers, 2010. "Penalized regression with individual deviance effects," Computational Statistics, Springer, vol. 25(2), pages 341-361, June.
  8. Tony Vangeneugden & Geert Molenberghs & Geert Verbeke & Clarice G.B. Dem�trio, 2011. "Marginal correlation from an extended random-effects model for repeated and overdispersed counts," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(2), pages 215-232, September.
  9. 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.
  10. I. Gijbels & I. Prosdocimi, 2011. "Smooth estimation of mean and dispersion function in extended generalized additive models with application to Italian induced abortion data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(11), pages 2391-2411, December.
  11. Molenberghs, Geert & Verbeke, Geert & Iddi, Samuel & Demétrio, Clarice G.B., 2012. "A combined beta and normal random-effects model for repeated, overdispersed binary and binomial data," Journal of Multivariate Analysis, Elsevier, vol. 111(C), pages 94-109.
  12. Afrânio M.C. Vieira & Roseli A. Leandro & Clarice G.B. Dem�trio & Geert Molenberghs, 2011. "Double generalized linear model for tissue culture proportion data: a Bayesian perspective," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(8), pages 1717-1731, September.
  13. Iraj Kazemi & Fatemeh Hassanzadeh, 2021. "Marginalized random-effects models for clustered binomial data through innovative link functions," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 105(2), pages 197-228, June.
  14. Rahma Abid & Célestin C. Kokonendji & Afif Masmoudi, 2021. "On Poisson-exponential-Tweedie models for ultra-overdispersed count data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 105(1), pages 1-23, March.
  15. I. R. C. Oliveira & G. Molenberghs & G. Verbeke & C. G. B. Demétrio & C. T. S. Dias, 2017. "Negative variance components for non-negative hierarchical data with correlation, over-, and/or underdispersion," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(6), pages 1047-1063, April.
  16. Lee, Dae-Jin & Durbán, María, 2009. "Smooth-CAR mixed models for spatial count data," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 2968-2979, June.
  17. Aregay, Mehreteab & Shkedy, Ziv & Molenberghs, Geert, 2013. "A hierarchical Bayesian approach for the analysis of longitudinal count data with overdispersion: A simulation study," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 233-245.
  18. Rodríguez-Avi, J. & Conde-Sánchez, A. & Sáez-Castillo, A.J. & Olmo-Jiménez, M.J. & Martínez-Rodríguez, A.M., 2009. "A generalized Waring regression model for count data," Computational Statistics & Data Analysis, Elsevier, vol. 53(10), pages 3717-3725, August.
  19. Jeonghwan Kim & Woojoo Lee, 2019. "On testing the hidden heterogeneity in negative binomial regression models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 82(4), pages 457-470, May.
  20. M. J. Faddy & D. M. Smith, 2005. "Modeling the Dependence between the Number of Trials and the Success Probability in Binary Trials," Biometrics, The International Biometric Society, vol. 61(4), pages 1112-1114, December.
  21. 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.
  22. William H. Greene & David A. Hensher, 2008. "Modeling Ordered Choices: A Primer and Recent Developments," Working Papers 08-26, New York University, Leonard N. Stern School of Business, Department of Economics.
  23. Yusuf OB & Bello T & Gureje O, 2017. "Zero Inflated Poisson and Zero Inflated Negative Binomial Models with Application to Number of Falls in the Elderly," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 1(4), pages 69-75, May.
  24. Iddi, Samuel & Molenberghs, Geert, 2012. "A combined overdispersed and marginalized multilevel model," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1944-1951.
  25. Adrián Quintero-Sarmiento & Edilberto Cepeda-Cuervo & Vicente Núñez-Antón, 2012. "Estimating infant mortality in Colombia: some overdispersion modelling approaches," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(5), pages 1011-1036, October.
  26. Oludare Ariyo & Emmanuel Lesaffre & Geert Verbeke & Adrian Quintero, 2022. "Bayesian Model Selection for Longitudinal Count Data," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 516-547, November.
  27. Lee, Dae-Jin & Durbán, María, 2008. "Smooth-car mixed models for spatial count data," DES - Working Papers. Statistics and Econometrics. WS ws085820, Universidad Carlos III de Madrid. Departamento de Estadística.
  28. Croux, C. & Gijbels, I. & Prosdocimi, I., 2010. "Robust Estimation of Mean and Dispersion Functions in Extended Generalized Additive Models," Other publications TiSEM a188c2bc-8a96-44c9-b1e6-0, Tilburg University, School of Economics and Management.
  29. Croux, C. & Gijbels, I. & Prosdocimi, I., 2010. "Robust Estimation of Mean and Dispersion Functions in Extended Generalized Additive Models," Discussion Paper 2010-104, Tilburg University, Center for Economic Research.
  30. Christophe Croux & Irène Gijbels & Ilaria Prosdocimi, 2012. "Robust Estimation of Mean and Dispersion Functions in Extended Generalized Additive Models," Biometrics, The International Biometric Society, vol. 68(1), pages 31-44, March.
  31. Errington Adam & Einbeck Jochen & Cumming Jonathan & Rössler Ute & Endesfelder David, 2022. "The effect of data aggregation on dispersion estimates in count data models," The International Journal of Biostatistics, De Gruyter, vol. 18(1), pages 183-202, May.
  32. José Rodríguez-Avi & María José Olmo-Jiménez, 2017. "A regression model for overdispersed data without too many zeros," Statistical Papers, Springer, vol. 58(3), pages 749-773, September.
  33. Aeberhard, William H. & Cantoni, Eva & Heritier, Stephane, 2017. "Saddlepoint tests for accurate and robust inference on overdispersed count data," Computational Statistics & Data Analysis, Elsevier, vol. 107(C), pages 162-175.
  34. Sami Mestiri & Abdeljelil Farhat, 2021. "Using Non-parametric Count Model for Credit Scoring," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 39-49, March.
  35. 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.
  36. I. Gijbels & I. Prosdocimi & G. Claeskens, 2010. "Nonparametric estimation of mean and dispersion functions in extended generalized linear models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 19(3), pages 580-608, November.
  37. Mabel Morales-Otero & Vicente Núñez-Antón, 2021. "Comparing Bayesian Spatial Conditional Overdispersion and the Besag–York–Mollié Models: Application to Infant Mortality Rates," Mathematics, MDPI, vol. 9(3), pages 1-33, January.
  38. Cory Anderson & Shuai Zhou & Guangqing Chi, 2023. "Population-Wide Vaccination Hesitancy among the Amish: A County-Level Study of COVID-19 Vaccine Adoption and Implications for Public Health Policy and Practice," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(4), pages 1-24, August.
  39. Borges, Patrick & Rodrigues, Josemar & Balakrishnan, Narayanaswamy & Bazán, Jorge, 2014. "A COM–Poisson type generalization of the binomial distribution and its properties and applications," Statistics & Probability Letters, Elsevier, vol. 87(C), pages 158-166.
  40. 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.
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