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  • 标题:Profile Analysis with Random-Effects Covariance Structure
  • 本地全文:下载
  • 作者:Muni S. Srivastava ; Martin Singull
  • 期刊名称:JOURNAL OF THE JAPAN STATISTICAL SOCIETY
  • 印刷版ISSN:1882-2754
  • 电子版ISSN:1348-6365
  • 出版年度:2012
  • 卷号:42
  • 期号:2
  • 页码:145-164
  • DOI:10.14490/jjss.42.145
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:In this paper, we consider a parallel profile model for several groups. Given the parallel profile model we construct tests based on the likelihood ratio, without any restrictions on the parameter space, for testing the covariance matrix for random-effects structure or sphericity. Furthermore, given both the parallel profile and random-effects covariance structure the level hypothesis is tested. The attained significance levels and the empirical powers for the given tests in this paper are compared with the tests given by Yokoyama and Fujikoshi (1993) and Yokoyama (1995).
  • 关键词:Likelihood ratio;parallel profile model;random-effects covariance structure
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