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Empirical-distribution-function Tests for the Beta-Binomial Model

Author

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  • Chien-Tai Lin
  • Cheng-Chieh Chou

Abstract

Empirical-distribution-function (EDF) goodness-of-fit tests are considered for the beta-binomial model. The testing procedures based on EDF statistics are given. A Monte Carlo study is conducted to investigate the accuracy and power of the tests against various alternative distributions. Our method is found to produce considerably greater power than that of Garren et al. (2001) in most cases. The tests are applied to data sets of the foraging behavior of herons and environmental toxicity studies.

Suggested Citation

  • Chien-Tai Lin & Cheng-Chieh Chou, 2007. "Empirical-distribution-function Tests for the Beta-Binomial Model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(6), pages 715-724.
    • Handle: RePEc:taf:japsta:v:34:y:2007:i:6:p:715-724
    DOI: 10.1080/02664760701236970
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    Cited by:

    1. D. J. Best & J. C. W. Rayner & O. Thas, 2010. "Four tests of fit for the beta-binomial distribution," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(9), pages 1547-1554.

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