Discrete Choice Experiments in Marketing: Use of Priors in Efficient Choice Designs and Their Application to Individual Preference Measurement
Author:   Klaus Zwerina
Publisher:   Physica-Verlag GmbH & Co
Edition:   illustrated edition
ISBN:  

9783790810455


Pages:   173
Publication Date:   14 October 1997
Format:   Paperback
Availability:   In Print   Availability explained
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Discrete Choice Experiments in Marketing: Use of Priors in Efficient Choice Designs and Their Application to Individual Preference Measurement


Overview

This book provides a general framework for the construction of statistically efficient choice designs. It reviews previous strategies researchers have used to generate reasonable choice designs, develops criteria for efficiency when one has prior information about the model parameters, specifies general search algorithms for generating efficient choice designs, and finally, uses this knowledge to develop and test individual-level choice models. The book is of interest to researchers and practitioners in marketing science, economics, and statistics.

Full Product Details

Author:   Klaus Zwerina
Publisher:   Physica-Verlag GmbH & Co
Imprint:   Physica-Verlag GmbH & Co
Edition:   illustrated edition
Dimensions:   Width: 17.00cm , Height: 1.00cm , Length: 24.40cm
Weight:   0.335kg
ISBN:  

9783790810455


ISBN 10:   3790810452
Pages:   173
Publication Date:   14 October 1997
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Introduction.- 2. Review of Linear Design and Discrete Choice Models.- 3. Designs for Discrete Choice Models.- 4. Using Priors in Choice Designs.- 5. Individual Choice Models.- 6. Conclusion.- Appendix A: Derivation of Probability-Centered Estimation Error.- Appendix B: Example Screens of Self-Explicated Task.- Appendix C: Example Screen of Conjoint Task.- Appendix D: Example Screen of Choice Task.- Appendix E: Holdout Choice Sets.- Appendix F: Experimental Conjoint Design.- Appendix G: Experimental Choice Designs and Partworth Values.- References.

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