文章基本信息

标题：ON THE BIOEQUIVALENCE PROBLEM AND A TESTING HYPOTHESIS PROBLEM FOR THE BIVARIATE NORMAL DISTRIBUTION
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作者：Yoshiyuki Tsuda
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：2000
卷号：30
期号：2
页码：213-236
DOI：10.14490/jjss1995.30.213
出版社：JAPAN STATISTICAL SOCIETY
摘要：The unbiased test of Brown, Hwang and Munk for the bioequivalence problem is considered. When the level is small, the feasibility of the approximation method is shown. The unbiased test is shown to be admissible in a certain class of tests. This method is applied to a testing hypothesis problem for the bivariate normal distribution and the admissibility is shown in some class of tests.