Authors:
- Comprehensive coverage of data analysis methodology and techniques in quantitative marketing
- Applies the most current topics, examples, research findings, and innovations in the field
- Designed as a research and professional resource and for course use; based on previous volumes with strong adoptions
Part of the book series: International Series in Quantitative Marketing (ISQM)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
Modeling Markets presents a comprehensive overview of the tools and methodologies that managers can use in decision making. It has long been known that even simple models outperform judgments in predicting outcomes in a wide variety of contexts. More complex models potentially provide insights about structural relations not available from casual observations.
In this book, the authors present a wealth of insights developed at the forefront of the field, covering all key aspects of specification, estimation, validation and use of models. The most current insights and innovations in quantitative marketing are presented, including in-depth discussion of Bayesian estimation methods. Throughout the book, the authors provide examples and illustrations. This book will be of interest to researchers, analysts, managers and students who want to understand, develop or use models of marketing phenomena.
Authors and Affiliations
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Department of Marketing, University of Groningen, Groningen, The Netherlands
Peter S.H. Leeflang, Jaap E. Wieringa, Tammo H.A. Bijmolt
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Marketing Department, Özyeğin University, Istanbul, Turkey
Koen H. Pauwels
Bibliographic Information
Book Title: Modeling Markets
Book Subtitle: Analyzing Marketing Phenomena and Improving Marketing Decision Making
Authors: Peter S.H. Leeflang, Jaap E. Wieringa, Tammo H.A. Bijmolt, Koen H. Pauwels
Series Title: International Series in Quantitative Marketing
DOI: https://doi.org/10.1007/978-1-4939-2086-0
Publisher: Springer New York, NY
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2015
Hardcover ISBN: 978-1-4939-2085-3Published: 13 November 2014
Softcover ISBN: 978-1-4939-4087-5Published: 23 August 2016
eBook ISBN: 978-1-4939-2086-0Published: 12 November 2014
Series ISSN: 0923-6716
Series E-ISSN: 2199-1057
Edition Number: 1
Number of Pages: XIV, 408
Number of Illustrations: 42 b/w illustrations, 1 illustrations in colour
Topics: Marketing, Management, Operations Research/Decision Theory