Covariance Structure is a statistical model that specifies the pattern of variances and covariances among observations within a split-plot design, distinguishing it by accounting for the correlated nature of repeated or nested measurements due to the presence of both whole-plot and sub-plot factors.
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Applied Multivariate Statistical Analysis.
Andrea Johnson, Dean W. Wichern · Biometrics · 1988 · 11.4K citations
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- PMPeter M. Bentler
University of California, Los Angeles, United States
44 publications · 150.7K citations
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University of California, Los Angeles
Los Angeles, United States
35 h-index
74 publications
128.1K citations
University of Michigan
Ann Arbor, United States
23 h-index
64 publications
7.3K citations
University of Chicago
Chicago, United States
22 h-index
39 publications
5.2K citations
Arizona State University
Tempe, United States
22 h-index
38 publications
4.1K citations
Harvard University
Cambridge, United States
20 h-index
44 publications
2.6K citations
Stanford University
Stanford, United States
19 h-index
48 publications
3.7K citations
The Ohio State University
Columbus, United States
19 h-index
34 publications
10K citations
University of Amsterdam
Amsterdam, The Netherlands
19 h-index
31 publications
5.4K citations
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- Journal of the American Statistical Association
72 publications · 10.4K citations
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- Multivariate Behavioral Research
MBR · 62 publications · 7.1K citations
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- Structural Equation Modeling A Multidisciplinary Journal
SEM · 50 publications · 108.8K citations
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- IEEE Transactions on Signal Processing
39 publications · 3.6K citations
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- Biometrics
50 publications · 16.2K citations
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