Improvement of interval estimation for generalized variance in multivariate normal distribution; 本文对两正态混合分布参数估计问题进行了研究。
Then it can establish the estimators of means and covariance matrix of the multivariate normal distribution, and estimate their confidence limits and intervals in each state. 文中详细讨论了多个状态下二元正态分布均值和方差的无偏估计和置信区间估计。
Implementation of test of hypothesis of multivariate normal population by using IML procedure and macro; 在假设检验中,人们总希望犯两类错误的概率都很小,但这很难实现。
The most stringent somewhere most powerful one sided test of the asymptotic multivariate normal population mean & The application of the ranked set sample; 最佳渐近正规估计量渐进多元正态(MN)总体均值最紧致某处最优势检验秩集样本的应用渐变为最大(G)
At last, the relations between multivariate Poisson distribution and multinomial distribution or multivariate normal distribution are given. 最后给出了多元Poisson分布与多项分布以及多元正态(MN)分布之间的关系。