Multivariate Analysis: An Application-Oriented Introduction - Tapa blanda

Acerca del autor

Professor Dr. Dr. h.c. Klaus Backhaus is Director at the Institute of Business-to-Business Marketing, Marketing Center Münster, School of Business and Economics at the University of Münster, Germany. He is an honorary professor at the Technical University of Berlin, Germany. 

Professor Dr. Bernd Erichson worked in market research and held the Chair of Marketing at the Otto-von-Guericke-University Magdeburg, Germany.

Professor Dr. Sonja Gensler is extraordinary Professor at the University of Münster, Germany, where she is a member of the Marketing Center Münster.

Dr. Thomas Weiber holds a Ph.D. from WHU, Otto Beisheim School of Management, Koblenz and has been working in different companies on corporate strategy, pricing, sales and marketing topics.

De la contraportada

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 book 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

On the website www.multivariate-methods.info, the authors provide examples in Excel and R as well as additional material to facilitate the understanding of the different multivariate methods. In addition, interactive flashcards are available to the reader for reviewing selected focal points. Download the Springer Nature Flashcards App and use exclusive content to test your knowledge.

The authors

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www.multivariate-methods.info