发帖
雷达卡
Author(s): Klaus Backhaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, Thomas Weiber
Description
Data can be extremely valuable if we are able to extract information from them. This is why multivariate data analysis is essential for business and science. This textbook offers an easy-to-understand introduction to the most relevant methods of multivariate data analysis. It is strictly application-oriented, requires little knowledge of mathematics and statistics, demonstrates the procedures with numerical examples and illustrates each method via a case study solved with IBM’s statistical software package SPSS. Extensions of the methods and links to other procedures are discussed and recommendations for application are given. An introductory chapter presents the basic ideas of the multivariate methods covered in the book and refreshes statistical basics which are relevant to all methods.
For the 2nd edition, all chapters were checked and calculated using the current version of IBM SPSS.
Introduction to empirical data analysis
Regression analysis
Analysis of variance
Discriminant analysis
Logistic regression
Contingency analysis
Factor analysis
Cluster analysis
Conjoint analysis
Klaus Backhaus, - Multivariate Analysis_ An Application-Oriented Introduction.pdf
(34.79 MB, 需要: RMB 19 元)
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