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RECORD NUMBER: 4 OF 33

OLS Field Name OLS Field Data
Main Title An introduction to multivariate statistical analysis.
Author Anderson, T. W.
Publisher Wiley
Year Published 1958
OCLC Number 00180226
ISBN 0471026409; 9780471026402
Subjects Multivariate analysis. ; Mathematics. ; Statistics. ; Multivariate analyse. ; Statistiek. ; Mathématiques. ; Statistiques. ; Analyse multivarie. ; Mathematical statistics.
Additional Subjects Multivariate analysis
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EJEM  QA276.A6 1958 OCSPP Chemical Library/Washington,DC 03/05/2004
EKBM  QA276.A6 1958 Research Triangle Park Library/RTP, NC 08/31/2011
ELCM  QA276.A6 NVFEL Library/Ann Arbor, MI 01/01/1988
ELDM  QA276.A6 2 copies NHEERL/MED Library/Duluth,MN 03/19/2004
Collation 374 p. illus. 24 cm.
Notes
Includes bibliography.
Contents Notes
The multivariate normal distribution -- Estimation of the mean vector and the covariance matrix -- The distributions and uses of sample correlation coefficients -- The generalized Tp2s-statistic -- Classification of observations -- The distribution of the sample covariance matrix and the sample generalized variance -- Testing the general linear hypotheses; analysis of variance -- Testing independence of sets of variates -- Testing hypotheses of equality of covariance matrices and equality of mean vectors and covariance matrices -- Principal components -- Canonical correlations and canonical variables -- The distribution of certain characteristic roots and vectors that do no depend on parameters -- A review of some other work in multivariate analysis -- Matrix theory. The multivariate normal distribution; Estimation of the mean vector and the covariance matrix; The distributions and uses of sample correlation coefficients; The generalized T2 statistic; Classification of observations; The distribution of the sample covariance matrix and the sample generalized variance; Testing the general linear hypothesis; analysis of variance; Testing independence of sets of variates; Testing hypotheses of equality of covariance matrices and equality of mean vectors and covariance matrices; Principal components; Canonical correlation and canonical variables; The distribution of certain characteristic roots and vectors that do not depend on parameters; A review of some other work in multivariate analysis.