Applied choice analysis
by David A. Hensher, John M. Rose, Greene, William H.
Mathematical modelsDecision makingStatistische EntscheidungstheorieEconometricsMultivariate analysis
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Open LibraryAbout this book
The second edition of this popular book brings students fully up to date with the latest methods and techniques in choice analysis. Comprehensive yet accessible, it offers a unique introduction to anyone interested in understanding how to model and forecast the range of choices made by individuals and groups. In addition to a complete rewrite of several chapters, new topics covered include ordered choice, scaled MNL, generalized mixed logit, latent class models, group decision making, heuristics and attribute processing strategies, expected utility theory, and prospect theoretic applications. Many additional case studies are used to illustrate the applications of choice analysis with extensive command syntax provided for all Nlogit applications and datasets available online. With its unique blend of theory, estimation, and application, this book has broad appeal to all those interested in choice modeling methods and will be a valuable resource for students as well as researchers, professionals, and consultants.--
Themes & subjects
Mathematical modelsDecision makingStatistische EntscheidungstheorieEconometricsMultivariate analysisDecision making, mathematical models
About the authors
David A. Hensher
1947
Greene, William H.
1951 – .
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