多维正态分布协方差阵在环序和伞序约束下的极大似然估计
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  • 英文篇名:Maximum likelihood estimation of covariance matrices of multivariate normal distribution under simple ring ordering and umbrella ordering
  • 作者:宓颖 ; 李树有
  • 英文作者:MI Ying;LI Shu-you;Science College,Liaoning University of Technology;
  • 关键词:多维正态分布 ; 参数化 ; 极大似然估计 ; 序约束
  • 英文关键词:multivariate normal distribution;;parameterization;;maximum likelihood estimation;;order restriction
  • 中文刊名:DBSZ
  • 英文刊名:Journal of Northeast Normal University(Natural Science Edition)
  • 机构:辽宁工业大学理学院;
  • 出版日期:2019-03-20
  • 出版单位:东北师大学报(自然科学版)
  • 年:2019
  • 期:v.51
  • 基金:国家自然科学基金资助项目(11271064)
  • 语种:中文;
  • 页:DBSZ201901007
  • 页数:7
  • CN:01
  • ISSN:22-1123/N
  • 分类号:35-41
摘要
通过对多维正态分布协方差阵采用参数化,利用在简单树半序和简单半序约束下协方差阵极大似然估计的方法,给出了多维正态分布协方差阵在简单环半序和伞型半序约束下极大似然估计的充分条件以及极大似然估计的计算方法,并给出多元平衡三向分类随机模型的应用实例.
        According to the algorithm of maximum likelihood estimators of covariance matrices of multivariate normal distribution under simple tree ordering and simple ordering by parameterization technique for covariance matrices,sufficient condition and a new algorithm of maximum likelihood estimators of covariance matrices of multivariate normal distribution under simple ring ordering and umbrella ordering are proposed.The example of the completely balanced multivariate three-way random effects model without interaction is given.
引文
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    [8]辛益军.方差分析与实验设计[M].北京:中国财政经济出版社,2001:150-176.

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