Correlation Matrix Estimation
Correlation Matrix Estimation is a statistical method that belongs to the class of multivariate analysis techniques, specifically designed to estimate the pairwise correlation coefficients among multiple random variables from sample data while ensuring the resulting matrix is positive semi-definite and accurately reflects the underlying dependence structure.
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2017–2026
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Tests for comparing elements of a correlation matrix.
James H. Steiger · Psychological Bulletin · 1980 · 4.4K citations
TESTING FOR SERIAL CORRELATION IN LEAST SQUARES REGRESSION. II
J. Durbin, G. S. Watson · Biometrika · 1951 · 3.6K citations
Aspects of Multivariate Statistical Theory
Leon Jay Gleser, Robb J. Muirhead · Technometrics · 1984 · 3.4K citations
Roy C. Geary, M. G. Kendall · The Economic Journal · 1949 · 2.4K citations
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Centre National de la Recherche Scientifique
Paris, France
17 h-index
43 publications
2.2K citations
Stanford University
Stanford, United States
14 h-index
22 publications
3.3K citations

University of Minnesota
Minneapolis, United States
14 h-index
28 publications
994 citations
University of Michigan
Ann Arbor, United States
14 h-index
24 publications
4.4K citations
University of Cambridge
Cambridge, United Kingdom
13 h-index
24 publications
5.6K citations
University of California, Berkeley
Berkeley, United States
13 h-index
29 publications
6.4K citations
Princeton University
Princeton, United States
13 h-index
27 publications
1.8K citations
National University of Singapore
Singapore, Singapore
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28 publications
1.4K citations
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MBR · 29 publications · 3.8K citations
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