SHI Jiashengji, ZHANG Yixiong, . Test That Normal Mean Vector Lies In the Positive Orthant against the Negative One[J]. Chinese Journal of Applied Probability and Statistics, 1997, 13(1): 19-26.
Citation:
SHI Jiashengji, ZHANG Yixiong, . Test That Normal Mean Vector Lies In the Positive Orthant against the Negative One[J]. Chinese Journal of Applied Probability and Statistics, 1997, 13(1): 19-26.
SHI Jiashengji, ZHANG Yixiong, . Test That Normal Mean Vector Lies In the Positive Orthant against the Negative One[J]. Chinese Journal of Applied Probability and Statistics, 1997, 13(1): 19-26.
Citation:
SHI Jiashengji, ZHANG Yixiong, . Test That Normal Mean Vector Lies In the Positive Orthant against the Negative One[J]. Chinese Journal of Applied Probability and Statistics, 1997, 13(1): 19-26.
Test That Normal Mean Vector Lies In the Positive Orthant against the Negative One
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.
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