Philip Hans Franses

Quantitative Models in Marketing Research (eBook, PDF)

• Format: PDF

Produktbeschreibung

Advances in data collection and data storage techniques have enabled marketing researchers to study the individual characteristics of a large range of transactions and purchases, in particular the effects of household-specific characteristics. This 2001 book presents important and practically relevant quantitative models for marketing research. Each model is presented in detail with a self-contained discussion, which includes: a demonstration of the mechanics of the model, empirical analysis, real world examples, and interpretation of results and findings. The reader of the book will learn how to apply the techniques, as well as understand the methodological developments in the academic literature. Pathways are offered in the book for students and practitioners with differing numerical skill levels; a basic knowledge of elementary numerical techniques is assumed.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 9. August 2001
• Englisch
• ISBN-13: 9780511032370
• Artikelnr.: 38199951

Autorenporträt

Philip Hans Franses is Professor of Applied Econometrics affiliated with the Econometric Institute and Professor of Marketing Research affiliated with the Department of Marketing and Organization, both at the Erasmus University Rotterdam. He holds a PhD (1991) from the same university. His research interests cover applied econometrics, time series analysis, empirical finance, marketing research and political science. He has published on these topics in international journals and in various books, including ''Time series models for business and economic forecasting'', and as co-author with Dick van Dijk of ''Nonlinear time series models in empirical finance'' (both with Cambridge University Press).

Inhaltsangabe

List of figures
List of tables
Preface
1. Introduction and outline of the book
2. Features of marketing research data
3. A continuous dependent variable
4. A binomial dependent variable
5. An unordered multinomial dependent variable
6. An ordered multinomial dependent variable
7. A limited dependent variable
8. A duration dependent variable
Appendix
Bibliography
Author index
Subject index.