Applied Multivariate Statistical Analysis and Related Topics with R

Description

Multivariate analysis is a popular area in statistics and data science. This book provides a good balance between conceptual understanding, key theoretical presentation, and detailed implementation with software R for commonly used multivariate analysis models and methods in practice. Contents Chapter 1 Introduction Chapter 2 Principal Components Analysis Chapter 3 Factor Analysis Chapter 4 Discriminant Analysis and Cluster Analysis Chapter 5 Inference for a Multivariate Normal Population Chapter 6 Discrete or Categorical Multivariate Data Chapter 7 Copula Models Chapter 8 Linear and Nonlinear Regression Models Chapter 9 Generalized Linear Models Chapter 10 Multivariate Regression and MANOVA Models Chapter 11 Longitudinal Data, Panel Data, and Repeated Measurements Chapter 12 Methods for Missing Data Chapter 13 Robust Multivariate Analysis Chapter 14 Selected Topics References