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

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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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    1. Schraepler, Joerg-Peter & Wagner, Gert G., 2003. "Identification, Characteristics and Impact of Faked Interviews in Surveys: An Analysis by Means of Genuine Fakes in the Raw Data of SOEP," IZA Discussion Papers 969, Institute for the Study of Labor (IZA).
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