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A note on testing two-dimensional normal mean
Authors:Kentaro Nomakuchi  Toshio Sakata
Institution:(1) Kyushu University, Kyushu, Japan;(2) Kumamoto University, Kumamoto, Japan
Abstract:Summary For the problem of testing a composite hypothesis with one-sided alternatives of the mean vector of a two-dimensional normal distribution, a characterization of similar tests is presented and an unbiased test dominating the likelihood ratio test is proposed. A sufficient condition for admissibility is given, which implies the result given by Cohen et al. (1983,Studies in Econometrics, Time Series and Multivariate Statistics, Academic Press): the admissibility of the likelihood ratio test.
Keywords:Composite hypothesis  one-sided alternatives  Schur-concave function  unbiased test  admissibility
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