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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/41271

    Title: Empirical-distribution-function Tests for the Beta-Binomial Model
    Authors: Lin, Chien-Tai;Chou, Cheng-Chieh
    Contributors: 淡江大學數學學系
    Keywords: Beta-binomial distribution;goodness-of-fit;parametric bootstrap;power;simulation
    Date: 2007-08
    Issue Date: 2010-01-28 07:08:21 (UTC+8)
    Publisher: Abingdon: Routledge
    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.
    Relation: Journal of Applied Statistics 34(6), pp.715-724
    DOI: 10.1080/02664760701236970
    Appears in Collections:[Graduate Institute & Department of Mathematics] Journal Article

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