节点文献
半序约束下两个正态总体均值和协方差阵估计的算法
An Algorithm for Maximum Likelihood Estimation of Mean Vectors and Convariance Matrices from Multivariate Normal Distribution Under Simultaneous Order Restrictions
【摘要】 对给定2个 P 维正态总体,未知均值和协方差阵分别为θi和∧i,i=1,2.本文研究了均值和协方差阵之间都有一个简单半序约束:θ1≤θ2,∧1≥∧2>0的条件下的估计问题,进而给出了一个求解的迭代方法,并证明其收敛性。
【Abstract】 For 2p-multiple normal population with unknown mean vector θi and unknon convariance matrix Λi,i=1,2,assure that there are some order restrictions among the mean vectors and convariance matrixes respectively.For example:Simple order restrictions:θ≤θ2,Λ1≥Λ2> O.An algorithm for maximum likelihood estimations of θis and Λis proposed and its conver- gence is proved.
【关键词】 最大似然估计;
保序回归;
迭代方法;
【Key words】 maximum likelihood estimation; isotonc regession; iteration method;
【Key words】 maximum likelihood estimation; isotonc regession; iteration method;
- 【文献出处】 辽宁工学院学报 ,Journal of Liaoning Institute of Technology , 编辑部邮箱 ,1996年01期
- 【分类号】O212.1
- 【下载频次】29