Multivariate Analysis: An Application-Oriented Introduction

Backhaus, Klaus; Erichson, Bernd; Gensler, Sonja; Weiber, Rolf; Weiber, Thomas

Lehrbuch (Monographie) | Peer reviewed

Zusammenfassung

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.

Details zur Publikation

VerlagSpringer Gabler
ErscheinungsortWiesbaden
Auflage2
StatusVeröffentlicht
Veröffentlichungsjahr2023
Sprache, in der die Publikation verfasst istEnglisch
ISBN978-3-658-40410-9
DOI10.1007/978-3-658-40411-6
StichwörterRegression analysis Analysis of variance Discriminant analysis Logistic regression Contingency analysis Factor analysis Cluster analysis Conjoint analysis

Autor*innen der Universität Münster

Gensler, Sonja
Professur für Wertbasiertes Marketing (Prof. Wiesel)