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Modeling the Dependence between the Number of Trials and the Success Probability in Binary Trials

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  • M. J. Faddy
  • D. M. Smith

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  • 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.
    • Handle: RePEc:bla:biomet:v:61:y:2005:i:4:p:1112-1114
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2005.00466.x
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    References listed on IDEAS

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    1. 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.
    2. Hinde, John & Demetrio, Clarice G. B., 1998. "Overdispersion: Models and estimation," Computational Statistics & Data Analysis, Elsevier, vol. 27(2), pages 151-170, April.
    3. Faddy, M. J., 1998. "Markov death process modelling and analysis of binary data," Statistics & Probability Letters, Elsevier, vol. 40(1), pages 9-13, September.
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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. Smith, David M. & Faddy, Malcolm J., 2016. "Mean and Variance Modeling of Under- and Overdispersed Count Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 69(i06).

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