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Mathematical Models in Marketing

A Collection of Abstracts

  • Book
  • © 1976

Overview

Authors:
  1. Ursula H. Funke

    1. Department of Economics, Brown University, Providence, USA

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Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 132)

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Table of contents (151 chapters)

  1. Front Matter

    Pages I-XX
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  2. Consumer Behavior Models

    1. Brand Choice

      1. Brand Preferences and Simple Markov Processes
        • Richard B. Maffei
        Pages 1-4
      2. Customer Behavior as a Markov Process
        • Jerome D. Herniter, John F. Magee
        Pages 5-9
      3. Brand Choice as a Probability Process
        • Ronald E. Frank
        Pages 10-11
      4. The Dynamics of Brand Loyalty: A Markovian Approach
        • Frank Harary, Benjamin Lipstein
        Pages 12-14
      5. A Mathematical Model for Marketing
        • Peter A. Longton, Bernard J. Warner
        Pages 15-20
      6. The Demand for Branded Goods as Estimated from Consumer Panel Data
        • Lester G. Telser
        Pages 21-24
      7. Consumer Brand Choice--A Learning Process?
        • Alfred A. Kuehn
        Pages 25-26
      8. Stochastic Process Models of Consumer Behavior
        • Ronald A. Howard
        Pages 27-29
      9. A Latent Markov Process Within the Individual
        • James S. Coleman
        Pages 30-31
      10. The Neglected Use of Data
        • A. S. C. Ehrenberg
        Pages 32-32
      11. A Stochastic Response Model with Application to Brand Choice
        • David B. Montgomery
        Pages 33-36
      12. A Mathematical Model of Consumer Behavior
        • Benjamin Lipstein
        Pages 37-39
      13. New Models of Consumer Loyalty Behavior: Aids to Setting and Evaluating Marketing Plans
        • Donald G. Morrison
        Pages 40-41
      14. Dynamic Inference
        • Ronald A. Howard
        Pages 42-47
      15. Progress on a Simplified Model of Stationary Purchasing Behaviour
        • C. Chatfield, A. S. C. Ehrenberg, G. J. Goodhardt
        Pages 48-52
      16. The Beta-Binomial Model for Consumer Purchasing Behaviour
        • C. Chatfield, G. J. Goodhardt
        Pages 53-57
      17. A Stochastic Interpretation of the Heavy Half
        • Donald G. Morrison
        Pages 58-59
      18. A Dual-Effects Model of Brand Choice
        • J. Morgan Jones
        Pages 60-64
      19. A Stochastic Model for Adaptive Behavior in a Dynamic Situation
        • J. Morgan Jones
        Pages 65-69
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Keywords

About this book

Mathematical models can be classified in a number of ways, e.g., static and dynamic; deterministic and stochastic; linear and nonlinear; individual and aggregate; descriptive, predictive, and normative; according to the mathematical technique applied or according to the problem area in which they are used. In marketing, the level of sophistication of the mathe­ matical models varies considerably, so that a nurnber of models will be meaningful to a marketing specialist without an extensive mathematical background. To make it easier for the nontechnical user we have chosen to classify the models included in this collection according to the major marketing problem areas in which they are applied. Since the emphasis lies on mathematical models, we shall not as a rule present statistical models, flow chart models, computer models, or the empirical testing aspects of these theories. We have also excluded competitive bidding, inventory and transportation models since these areas do not form the core of ·the marketing field.

Authors and Affiliations

  • Department of Economics, Brown University, Providence, USA

    Ursula H. Funke

Bibliographic Information

  • Book Title: Mathematical Models in Marketing

  • Book Subtitle: A Collection of Abstracts

  • Authors: Ursula H. Funke

  • Series Title: Lecture Notes in Economics and Mathematical Systems

  • DOI: https://doi.org/10.1007/978-3-642-51565-1

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1976

  • Softcover ISBN: 978-3-540-07869-2Published: 20 October 1976

  • eBook ISBN: 978-3-642-51565-1Published: 17 April 2013

  • Series ISSN: 0075-8442

  • Series E-ISSN: 2196-9957

  • Edition Number: 1

  • Number of Pages: XX, 514

  • Topics: Mathematics, general, Business and Management, general

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