Conjoint Measurement

- 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

Prof. Dr. Frank Huber ist Inhaber des Lehrstuhls für Betriebswirtschaftslehre, insbesondere Marketing der Universität Mainz.

From the reviews:

"The aim of this book is to reflect the substantial research and recent developments done in Conjoint Analysis. Leading scientists present theory, models and applications to marketing and business research. This book of 21 essays contains latest developments in conjoint modeling, a number of comparisons and cross validation studies." (Edward M. Psyadlo, Zentralblatt MATH, Vol. 1059 (10), 2005)