Backhaus K Multivariate Analysis An Application-Oriented Introduction 3ed 2025 | 26.26 MB
Title: Multivariate Analysis
Author: Klaus Backhaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, Thomas Weiber
Description:
We live in a world driven by data. Yet, data alone holds no value unless we can extract meaningful insights from it. Multivariate data analysis provides the essential tools to unlock this potential.
This book offers an easy-to-understand introduction to the most important methods of multivariate data analysis. With a strong application focus, it requires only basic knowledge of mathematics and statistics. The methods are demonstrated through numerical examples and illustrated with detailed case studies. Additionally, the introductory chapter refreshes key statistical fundamentals relevant to all methods covered in the book.
For the 3rd edition, all chapters have been thoroughly reviewed and recalculated using the latest version of IBM SPSS.
Contents
- Introduction to empirical data analysis
- Regression analysis
- Analysis of variance
- Discriminant analysis
- Logistic regression
- Contingency analysis
- Factor analysis
- Cluster analysis
- Conjoint analysis
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