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Testing for Overdispersion in a Bivariate Negative Binomial Distribution Using Bootstrap Method
  • 전명식
  • 정병철

초록

The bootstrap method for the score test statistic is proposed in a bivariate negativebinomial distribution. The Monte Carlo study shows that the score test for testingoverdispersion underestimates the nominal signicance level, while the score test for\intrinsic correlation" overestimates the nominal one. To vercome this problem, wepropose a bootstrap method for the score test. We nd that bootstrap methods keepthe signicance level close to the nominal signicance level for testing the hypothesis. An empirical example is provided to illustrate the results.

키워드

Bivariate poissonbivariate negative binomialoverdispersionbootstrap.
제목
이변량 음이항 모형에서 붓스트랩 방법을 이용한 과대산포에 대한 검정
제목 (타언어)
Testing for Overdispersion in a Bivariate Negative Binomial Distribution Using Bootstrap Method
저자
전명식정병철
발행일
2008
저널명
응용통계연구
21
2
페이지
341 ~ 353