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Another approach to inverting a covariance matrix when data are unbalanced

 

作者: Tom Wansbeek,  

 

期刊: Communications in Statistics - Simulation and Computation  （Taylor Available online 1982）
卷期: Volume 11, issue 5  

页码: 583-588

 

ISSN:0361-0918

 

年代: 1982

 

DOI:10.1080/03610918208812276

 

出版商: Marcel Dekker, Inc.

 

关键词: analysis of variance;unbalanced data;two-way crossed classification

 

数据来源: Taylor

 

摘要:

Searle and Rudan (1973) derive the inverse of a covariance matrix for unbalanced data in ANOVA. Their expression is highly complicated. This paper presents an alternative derivation and shows how unbalancedness enters in.

 

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