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正态均值向量在正象限对负象限条件下的估计
引用本文:氏家胜己,张伊雄.正态均值向量在正象限对负象限条件下的估计[J].应用概率统计,1997,13(1):19-26.
作者姓名:氏家胜己  张伊雄
作者单位:东海大学!日本
摘    要:样本来自于n维独立正态分0布,在方差未知情况下,偏侧均值的最大似然估计在特定约束条件下是可能的,此估计由新的分布所决定,新分布为β*分布.

关 键 词:方差未知  最大似然估计  正象限对负象限  β~*分布

Test That Normal Mean Vector Lies In the Positive Orthant against the Negative One
KATSUMI UJIIE, YIXIONG ZHANG.Test That Normal Mean Vector Lies In the Positive Orthant against the Negative One[J].Chinese Journal of Applied Probability and Statisties,1997,13(1):19-26.
Authors:KATSUMI UJIIE  YIXIONG ZHANG
Abstract:In the case of the independent random samples from n normal populations with a commonbut unknown variance, the likelihood ratio (LR) test that normal mean vector lies in the positiveorthant against the negative one is possible under mild conditions, and a new distribution, namedBeta Star distribution, which is found and used to determme the distribution of the LR Statistic.
Keywords:unknown variance  likelihood ratio  positive orthant  against the negative one  Beta star distribution
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