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  • 标题:LINEAR HYPOTHESIS TESTING IN A RANDOM EFFECTS GROWTH CURVE MODEL
  • 本地全文:下载
  • 作者:Akio Suzukawa ; Yoshiharu Sato
  • 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:1996
  • 卷号:26
  • 期号:2
  • 页码:135-143
  • DOI:10.14490/jjss1995.26.135
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:This paper discusses a testing problem of the linear hypothesis for the expectation matrix in a balanced growth curve model with random parameters. We consider this testing problem from an invariance point of view, and obtain a maximal invariant under a group of transformations which leaves the problem invariant. We also derive the likelihood ratio statistic and show that its least favorable distribution is given by Λ-distribution.
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