Empirical-distribution-function tests for the beta-binomial model

被引：1

作者：

Lin, Chien-Tai ^{[1
]}

Chou, Cheng-Chieh ^{[1
]}

机构：

[1] Tamkang Univ, Dept Math, Tamsui 25137, Taipei Cty, Taiwan

来源：

JOURNAL OF APPLIED STATISTICS | 2007年 / 34卷 / 06期

关键词：

beta-binomial distribution; goodness-of-fit; parametric bootstrap; power; simulation;

D O I：

10.1080/02664760701236970

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

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.

引用

页码：715 / 724

页数：10

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