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020 _a9789332549555
040 _aIIITD
082 _a519.5
_bJOH-A
100 _aJohnson, Richard A.
245 _aApplied multivariate statistical analysis
_cby Richard A. Johnson and Dean W. Wicher
250 _a6th ed.
260 _bPearson,
_aNew Jersey :
_c©2018
300 _axviii, 773 p. :
_bill. ;
_c 26 cm.
504 _aIncludes bibliographical references
505 _tChapter 1. Aspects of Multivariate Analysis
_tChapter 2. Sample Geometry and Random Sampling
_tChapter 3. Matrix Algebra and Random Vectors
_tChapter 4. The Multivariate Normal Distribution
_tChapter 5. Inferences About a Mean Vector
_tChapter 6. Comparisons of Several Multivariate Means
_tChapter 7. Multivariate Linear Regression Models
_tChapter 8. Principal Components
_tChapter 9. Factor Analysis and Inference for Structured Covariance Matric
_tChapter 10. Canonical Correlation Analysis
_tChapter 11. Discrimination and Classification
_tChapter 12. Clustering, Distance Methods and Ordination
650 _aMultivariate analysis.
700 _aWichern, Dean W.
942 _2ddc
_cBK
999 _c172132
_d172132