Applied Multivariate Statistical Analysis
Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. It surveys the basic principles and emphasizes both exploratory and inferential statistics; a ne...
Main Authors: | , |
---|---|
Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2015.
|
Edition: | 4th ed. 2015. |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- I Descriptive Techniques: Comparison of Batches
- II Multivariate Random Variables: A Short Excursion into Matrix Algebra
- Moving to Higher Dimensions
- Multivariate Distributions
- Theory of the Multinormal
- Theory of Estimation
- Hypothesis Testing
- III Multivariate Techniques: Regression Models
- Variable Selection
- Decomposition of Data Matrices by Factors
- Principal Components Analysis
- Factor Analysis
- Cluster Analysis
- Discriminant Analysis
- Correspondence Analysis
- Canonical Correlation Analysis
- Multidimensional Scaling
- Conjoint Measurement Analysis
- Applications in Finance
- Computationally Intensive Techniques
- IV Appendix: Symbols and Notations
- Data.