The information matrix of a sample of observations with missing data from a multivariate normal distribution with a covariance structure-Reference-Cited by-同舟云学术

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The information matrix of a sample of observations with missing data from a multivariate normal distribution with a covariance structure

Published:1990-04 Issue: Volume:131 Page:9-15
ISSN:0024-3795
Container-title:Linear Algebra and its Applications
language:en
Short-container-title:Linear Algebra and its Applications

Author:

Jinadasa K.G.

Publisher

Elsevier BV

Subject

Discrete Mathematics and Combinatorics,Geometry and Topology,Numerical Analysis,Algebra and Number Theory

Reference7 articles.

1. Maximum likelihood estimation from incomplete data via the EM algorithm;Dempster;J. Roy. Statist. Soc. Ser. B,1977

2. Applications of matrix operators vec and vech;Jinadasa;Linear Algebra Appl.,1988

3. Statistical Analysis with Missing Data;Little,1987

4. Finding the information matrix when using the EM algorithm;Louis;J. Roy. Statist. Soc. Ser. B,1982

5. Matrix Differential Calculus with Applications in Statistics and Econometrics;Magnus,1988

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On the use of the selection matrix in the maximum likelihood estimation of normal distribution models with missing data;Communications in Statistics - Theory and Methods;2017-08-24

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