Applied Multivariate Statistical Analysis
This textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields, and all the examples involve high to u...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2019, 2019
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| Edition: | 5th ed. 2019 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Part I Descriptive Techniques
- 1 Comparison of Batches
- Part II Multivariate Random Variables
- 2 A Short Excursion into Matrix Algebra
- 3 Moving to Higher Dimensions
- 4 Multivariate Distributions
- 5 Theory of the Multinormal
- 6 Theory of Estimation
- 7 Hypothesis Testing
- Part III Multivariate Techniques
- 8 Regression Models
- 9 Variable Selection.-10 Decomposition of Data Matrices by Factors
- 11 Principal Components Analysis
- 12 Factor Analysis
- 13 Cluster Analysis
- 14 Discriminant Analysis
- 15 Correspondence Analysis
- 16 Canonical Correlation Analysis
- 17 Multidimensional Scaling
- 18 Conjoint Measurement Analysis
- 19 Applications in Finance
- 20 Computationally Intensive Techniques
- Part IV Appendix
- A Symbols and Notations
- B Data
- Index
- References