Statistics in Market Research - Chuck Chakrapani

Statistics in Market Research

Buch | Softcover
352 Seiten
2004
Hodder Arnold (Verlag)
978-0-340-76397-1 (ISBN)
52,30 inkl. MwSt
zur Neuauflage
  • Titel erscheint in neuer Auflage
  • Artikel merken
Zu diesem Artikel existiert eine Nachauflage
This book provides a non-technical explanation of multivariate statistics in the context of their application in market research.
The techniques of multivariate statistics offer extremely powerful tools for use in solving everyday problems in a wide range of fields. Yet because of their statistical nature they are often out of reach of many of the people who could benefit from them. One such group is that of market researchers, and this book provides a non-technical explanation of multivariate statistics in the context of their application in market research. The focus is on providing an understanding of these techniques and the benefits which can be gained from their use. The rationale behind the book is that it is possible for an interested non-technical person to gain a working understanding of multivariate analysis, and this gives the book a unique place in the market. The book assumes a a general but fairly basic statistical knowledge and concentrates on the statistical techniques specifically relevant to market research. It illustrates these techniques throughout with international examples and case studies.In keeping with the aims of the 'Applications in Statistics Series', the emphasis is on learning an application of statistics, in this case in market research, rather than on learning statistics per se.

Dr. Chuck Chakrapani is Chief Executive Officer of Millward Brown Goldfarb and Editor of Marketing Research, published by the American Marketing Association, and Canadian Journal of Marketing Research, published by the Professional Marketing Research Society.

Statistics and marketing; factor analysis; correspondence analysis; cluster analysis; multiple regression analysis; discriminant analysis (including logistic regression); conjoint analysis; path analysis and structural equation models; data mining (including neural networks and decision trees).

Erscheint lt. Verlag 30.1.2004
Zusatzinfo 30 illustrations
Verlagsort London
Sprache englisch
Maße 155 x 234 mm
Gewicht 406 g
Themenwelt Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Mathematik / Informatik Mathematik Statistik
Wirtschaft Betriebswirtschaft / Management Marketing / Vertrieb
ISBN-10 0-340-76397-3 / 0340763973
ISBN-13 978-0-340-76397-1 / 9780340763971
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
eine anwendungsorientierte Einführung

von Klaus Backhaus; Bernd Erichson; Sonja Gensler

Buch | Softcover (2023)
Springer Gabler (Verlag)
49,99