Applied multivariate statistical analysis
Johnson, Richard A.
Applied multivariate statistical analysis by Richard A. Johnson and Dean W. Wicher - 6th ed. - New Jersey : Pearson, ©2018 - xviii, 773 p. : ill. ; 26 cm.
Includes bibliographical references
Chapter 1. Aspects of Multivariate Analysis
Chapter 2. Sample Geometry and Random Sampling
Chapter 3. Matrix Algebra and Random Vectors Chapter 4. The Multivariate Normal Distribution
Chapter 5. Inferences About a Mean Vector
Chapter 6. Comparisons of Several Multivariate Means
Chapter 7. Multivariate Linear Regression Models
Chapter 8. Principal Components
Chapter 9. Factor Analysis and Inference for Structured Covariance Matric
Chapter 10. Canonical Correlation Analysis
Chapter 11. Discrimination and Classification
Chapter 12. Clustering, Distance Methods and Ordination
9789332549555
Multivariate analysis.
519.5 / JOH-A
Applied multivariate statistical analysis by Richard A. Johnson and Dean W. Wicher - 6th ed. - New Jersey : Pearson, ©2018 - xviii, 773 p. : ill. ; 26 cm.
Includes bibliographical references
Chapter 1. Aspects of Multivariate Analysis
Chapter 2. Sample Geometry and Random Sampling
Chapter 3. Matrix Algebra and Random Vectors Chapter 4. The Multivariate Normal Distribution
Chapter 5. Inferences About a Mean Vector
Chapter 6. Comparisons of Several Multivariate Means
Chapter 7. Multivariate Linear Regression Models
Chapter 8. Principal Components
Chapter 9. Factor Analysis and Inference for Structured Covariance Matric
Chapter 10. Canonical Correlation Analysis
Chapter 11. Discrimination and Classification
Chapter 12. Clustering, Distance Methods and Ordination
9789332549555
Multivariate analysis.
519.5 / JOH-A