Conjoint Measurement: Methods and Applications / Edition 4

Conjoint Measurement: Methods and Applications / Edition 4

ISBN-10:
3540714030
ISBN-13:
9783540714033
Pub. Date:
11/28/2007
Publisher:
Springer Berlin Heidelberg
ISBN-10:
3540714030
ISBN-13:
9783540714033
Pub. Date:
11/28/2007
Publisher:
Springer Berlin Heidelberg
Conjoint Measurement: Methods and Applications / Edition 4

Conjoint Measurement: Methods and Applications / Edition 4

Hardcover

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Overview

This fascinating book covers all the recent developments in conjoint analysis. Leading scientists present different aspects of the theory and applications of this technique. A wide variety of models, techniques, and applications are discussed, including normative models that maximize return, extension of choice-based conjoint simulations, latent class, hierarchical Bayes modeling, new choice simulators, and normative models for representing competitive actions and reactions (based on game theory).


Product Details

ISBN-13: 9783540714033
Publisher: Springer Berlin Heidelberg
Publication date: 11/28/2007
Edition description: 4th ed. 2007
Pages: 373
Product dimensions: 6.30(w) x 9.40(h) x 1.00(d)

Table of Contents

Conjoint Analysis as an Instrument of Market Research Practice.- Measurement of Price Effects with Conjoint Analysis: Separating Informational and Allocative Effects of Price.- Market Simulation Using a Probabilistic Ideal Vector Model for Conjoint Data.- A Comparison of Conjoint Measurement with Self-Explicated Approaches.- Non-geometric Plackett-Burman Designs in Conjoint Analysis.- On the Influence of the Evaluation Methods in Conjoint Design - Some Empirical Results.- Evolutionary Conjoint.- The Value of Extent-of-Preference Information in Choice-Based Conjoint Analysis.- A Multi-trait Multi-method Validity Test of Partworth Estimates.- Conjoint Preference Elicitation Methods in the Broader Context of Random Utility Theory Preference Elicitation Methods.- Conjoint Choice Experiments: General Characteristics and Alternative Model Specifications.- Optimization-Based and Machine-Learning Methods for Conjoint Analysis: Estimation and Question Design.- The Combinatorial Structure of Polyhedral Choice Based Conjoint Analysis.- Using Conjoint Choice Experiments to Model Consumer Choices of Product Component Packages.- Latent Class Models for Conjoint Analysis.- A Generalized Normative Segmentation Methodology Employing Conjoint Analysis.- Dealing with Product Similarity in Conjoint Simulations.- Sales Forecasting with Conjoint Analysis by Addressing Its Key Assumptions with Sequential Game Theory and Macro-Flow Modeling.
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