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Modeling the Dependence between Number of Trials and Success Probability in Beta-Binomial–Poisson Mixture Distributions

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  • Jun Zhu
  • Jens C. Eickhoff
  • Mark S. Kaiser

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  • Jun Zhu & Jens C. Eickhoff & Mark S. Kaiser, 2003. "Modeling the Dependence between Number of Trials and Success Probability in Beta-Binomial–Poisson Mixture Distributions," Biometrics, The International Biometric Society, vol. 59(4), pages 955-961, December.
    • Handle: RePEc:bla:biomet:v:59:y:2003:i:4:p:955-961
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2003.00110.x
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    References listed on IDEAS

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    1. J. K. Lindsey, 1999. "Response Surfaces for Overdispersion in the Study of the Conditions for Fish Eggs Hatching," Biometrics, The International Biometric Society, vol. 55(1), pages 149-155, March.
    2. Andrew S. Allen & Huiman X. Barnhart, 2002. "Joint Models for Toxicology Studies with Dose‐Dependent Number of Implantations," Risk Analysis, John Wiley & Sons, vol. 22(6), pages 1165-1173, December.
    3. Mary Dupuis Sammel & Louise M. Ryan & Julie M. Legler, 1997. "Latent Variable Models for Mixed Discrete and Continuous Outcomes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 59(3), pages 667-678.
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    Cited by:

    1. 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.

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