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Likelihood-Based Modeling and Analysis of Data Underdispersed Relative to the Poisson Distribution

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  • M. J. Faddy
  • R. J. Bosch

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  • M. J. Faddy & R. J. Bosch, 2001. "Likelihood-Based Modeling and Analysis of Data Underdispersed Relative to the Poisson Distribution," Biometrics, The International Biometric Society, vol. 57(2), pages 620-624, June.
    • Handle: RePEc:bla:biomet:v:57:y:2001:i:2:p:620-624
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2001.00620.x
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    References listed on IDEAS

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    1. Bosch, Ronald J. & Ryan, Louise M., 1998. "Generalized poisson models arising from Markov processes," Statistics & Probability Letters, Elsevier, vol. 39(3), pages 205-212, August.
    2. Brian G. Leroux & Wendy M. Leisenring & Suresh H. Moolgavkar & Elaine M. Faustman, 1996. "A Biologically‐Based Dose—Response Model for Developmental Toxicology," Risk Analysis, John Wiley & Sons, vol. 16(4), pages 449-458, August.
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    Cited by:

    1. I. Ricard & A. C. Davison, 2007. "Statistical inference for olfactometer data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 56(4), pages 479-492, August.
    2. Saha, Krishna K. & Bilisoly, Roger, 2009. "Testing the homogeneity of the means of several groups of count data in the presence of unequal dispersions," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3305-3313, July.
    3. Choi, Yunhee & Ahn, Hongshik & Chen, James J., 2005. "Regression trees for analysis of count data with extra Poisson variation," Computational Statistics & Data Analysis, Elsevier, vol. 49(3), pages 893-915, June.
    4. Boris Forthmann & Philipp Doebler, 2021. "Reliability of researcher capacity estimates and count data dispersion: a comparison of Poisson, negative binomial, and Conway-Maxwell-Poisson models," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3337-3354, April.

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