Книги
An Introduction to Multivariate Statistical Analysis
Anderson, T.W. An Introduction to Multivariate Statistical Analysis / T.W. Anderson. — 2nd Edition. — New YorkChichesterWeinheim : J.Wiley & Sons, 1984. — 676 p.. — Содержание : Chapter 1. Introduction ; Chapter 2. The Multivariate Normal Distribution ; Chapter 3. Estimation of the Mean Vector and the Covariance Matrix ; Chapter 4. The Distributions and Uses of Sample Correlation Coefficients ; Chapter 5. The Generalized T2-Statistic ; Chapter 6. Classification of Observations ; Chapter 7. The Distribution of the Sample Covariance Matrix and the Sample Generalized Variance ; Chapter 8. Testing the General Linear Hypothesis: Multivariate Analysis of Variance ; Chapter 9. Testing Independence of Sets of Variates ; Chapter 10. Testing Hypotheses of Equality of Covariance Matrices and Equality of Mean Vectors and Covariance Matrices ; Chapter 11. Principal Components ; Chapter 12. Cononical Correlations and Cononical Variables ; Chapter 13. The Distributions of Characteristic Roots and Vectors ; Chapter 14. Factor Analysis ; Chapter 15. Pattern of Dependence Graphical Models ; Appendix A: Matrix Theory ; References ; Index. — 4498.00 р.
Аннотация
Since the publication of the second edition, several advances have been made in multivariate (MV) statistical analysis. Maintaining the previous edition's mathematically rigorous development of statistical models, this third edition substantially revises and adds to the original text to bring statisticians up to date with recent developments in the field.
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