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On estimation of the Poisson parameter in zero-modified Poisson models

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  • Dietz, Ekkehart
  • Bohning, Dankmar

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  • Dietz, Ekkehart & Bohning, Dankmar, 2000. "On estimation of the Poisson parameter in zero-modified Poisson models," Computational Statistics & Data Analysis, Elsevier, vol. 34(4), pages 441-459, October.
    • Handle: RePEc:eee:csdana:v:34:y:2000:i:4:p:441-459
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    References listed on IDEAS

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    1. Gurmu, Shiferaw, 1991. "Tests for Detecting Overdispersion in the Positive Poisson Regression Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(2), pages 215-222, April.
    2. Feng, Ziding & McCulloch, Charles E., 1992. "Statistical inference using maximum likelihood estimation and the generalized likelihood ratio when the true parameter is on the boundary of the parameter space," Statistics & Probability Letters, Elsevier, vol. 13(4), pages 325-332, March.
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    Cited by:

    1. 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.
    2. Wilson, Paul, 2015. "The misuse of the Vuong test for non-nested models to test for zero-inflation," Economics Letters, Elsevier, vol. 127(C), pages 51-53.
    3. Monica Auteri & Antonello Maruotti, 2012. "Modelling waiting times in the Italian National Health Service," Applied Economics Letters, Taylor & Francis Journals, vol. 19(5), pages 459-465, March.
    4. Marzieh Shahmandi & Paul Wilson & Mike Thelwall, 2020. "A new algorithm for zero-modified models applied to citation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 993-1010, November.
    5. Shou-En Lu & Yong Lin & Wei-Chung Joe Shih, 2004. "Analyzing Excessive No Changes in Clinical Trials with Clustered Data," Biometrics, The International Biometric Society, vol. 60(1), pages 257-267, March.
    6. 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.
    7. Kennedy Ndue & Melese Mulu Baylie & Pál Goda, 2023. "Determinants of Rural Households’ Intensity of Flood Adaptation in the Fogera Rice Plain, Ethiopia: Evidence from Generalised Poisson Regression," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    8. Dalrymple, M. L. & Hudson, I. L. & Ford, R. P. K., 2003. "Finite Mixture, Zero-inflated Poisson and Hurdle models with application to SIDS," Computational Statistics & Data Analysis, Elsevier, vol. 41(3-4), pages 491-504, January.
    9. 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.
    10. Biswas, Atanu & Jha, Jayant & Dutta, Somak, 2016. "Modelling circular random variables with a spike at zero," Statistics & Probability Letters, Elsevier, vol. 109(C), pages 194-201.
    11. Dankmar Böhning & Ekkehart Dietz & Ronny Kuhnert & Dieter Schön, 2005. "Mixture models for capture-recapture count data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 14(1), pages 29-43, February.
    12. 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.
    13. Katiane Conceição & Marinho Andrade & Francisco Louzada, 2014. "On the zero-modified poisson model: Bayesian analysis and posterior divergence measure," Computational Statistics, Springer, vol. 29(5), pages 959-980, October.
    14. Dankmar Böhning & Helen E. Ogden, 2021. "General flation models for count data," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 84(2), pages 245-261, February.
    15. Wesley Bertoli & Katiane S. Conceição & Marinho G. Andrade & Francisco Louzada, 2018. "On the zero-modified Poisson–Shanker regression model and its application to fetal deaths notification data," Computational Statistics, Springer, vol. 33(2), pages 807-836, June.
    16. Emura, Takeshi & Konno, Yoshihiko, 2012. "A goodness-of-fit test for parametric models based on dependently truncated data," Computational Statistics & Data Analysis, Elsevier, vol. 56(7), pages 2237-2250.
    17. 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.

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