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Estimation from incomplete data in growth curves models

 

作者: Erkki P. Liski,  

 

期刊: Communications in Statistics - Simulation and Computation  （Taylor Available online 1985）
卷期: Volume 14, issue 1  

页码: 13-27

 

ISSN:0361-0918

 

年代: 1985

 

DOI:10.1080/03610918508812423

 

出版商: Marcel Dekker, Inc.

 

关键词: generalized multivariate linear model;the EM algorithm;maximum likelihood;missing data

 

数据来源: Taylor

 

摘要:

This paper considers a computational method for analysing growth curve data with missing values. We present an algorithm which is often referred as the EM algorithm. The procedure proposed here utilizes the technique of analysis of covariance.

 

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