Frontmatter

Kapitel in diesem Buch

1. Frontmatter i
2. Preface iii
3. Contents vii
4. Chapter 1 Introduction 1
5. Chapter 2 Principal Components Analysis 29
6. Chapter 3 Factor Analysis 45
7. Chapter 4 Discriminant Analysis and Cluster Analysis 56
8. Chapter 5 Inference for a Multivariate Normal Population 71
9. Chapter 6 Discrete or Categorical Multivariate Data 80
10. Chapter 7 Copula Models 97
11. Chapter 8 Linear and Nonlinear Regression Models 111
12. Chapter 9 Generalized Linear Models 131
13. Chapter 10 Multivariate Regression and MANOVA Models 152
14. Chapter 11 Longitudinal Data, Panel Data, and Repeated Measurements 164
15. Chapter 12 Methods for Missing Data 175
16. Chapter 13 Robust Multivariate Analysis 193
17. Chapter 14 Selected Topics 211
18. References 224