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Applied multivariate statistical analysis

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Publisher: Pearson
Year: 2014

Language: English
Pages: 770
City: Harlow, Essex, England
Tags: Математика;Теория вероятностей и математическая статистика;Математическая статистика;Прикладная математическая статистика;

Cover......Page 1
Table of Contents......Page 4
Chapter 1. Aspects of Multivariate Analysis......Page 6
Chapter 3. Sample Geometry and Random Sampling......Page 54
Chapter 2. Matrix Algebra and Random Vectors......Page 92
Chapter 4. The Multivariate Normal Distribution......Page 154
Chapter 5. Inferences About a Mean Vector......Page 215
Chapter 6. Comparisons of Several Multivariate Means......Page 278
Chapter 7. Multivariate Linear Regression Models......Page 365
Chapter 8. Principal Components......Page 435
Chapter 9. Factor Analysis and Inference for Structured Covariance Matrices......Page 486
Chapter 10. Canonical Correlation Analysis......Page 544
Chapter 11. Discrimination and Classification......Page 580
Chapter 12. Clustering, Distance Methods and Ordination......Page 676
Appendix......Page 762
D......Page 770
I......Page 771
N......Page 772
R......Page 773
V......Page 774
Z......Page 775