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The book covers all recent developments in Conjoint Analysis. Leading scientists present theory and applications of this technique. In short, the following models, techniques, and applications are discussed: normative models that maximize return, extension of choice-based conjoint simulations, latent class, hierarchical Bayes modelling, new choice simulators, normative models for representing competitive actions and reactions (based on game theory), applications in diverse areas, computation of monetary equivalents of part worth, share/return optimisation (including Pareto frontier analysis),…mehr

Produktbeschreibung
The book covers all recent developments in Conjoint Analysis. Leading scientists present theory and applications of this technique. In short, the following models, techniques, and applications are discussed: normative models that maximize return, extension of choice-based conjoint simulations, latent class, hierarchical Bayes modelling, new choice simulators, normative models for representing competitive actions and reactions (based on game theory), applications in diverse areas, computation of monetary equivalents of part worth, share/return optimisation (including Pareto frontier analysis), coupling of conjoint analysis with the perceptual and preference mapping of choice simulator results.
Autorenporträt
Prof. Dr. Frank Huber ist Inhaber des Lehrstuhls für Betriebswirtschaftslehre, insbesondere Marketing der Universität Mainz.
Rezensionen
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)