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Applied choice analysis

By: Hensher, David A.
Contributor(s): Rose, John M | Greene, William H.
Material type: materialTypeLabelBookPublisher: Cambridge Cambridge University Press 2015Edition: 2nd ed.Description: xxx, 1188 p.ISBN: 9781107465923.Subject(s): Decision Making - Mathematical Models | Probabilities - Mathematical Models | ChoiceDDC classification: 519.542 Summary: 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. https://www.goodreads.com/book/show/22537352-applied-choice-analysis?from_search=true
List(s) this item appears in: Prof. A. K. Laha
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Books Books Vikram Sarabhai Library
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Non Fiction 519.542 H3A7-2015 (Browse shelf) Available 193739

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.

https://www.goodreads.com/book/show/22537352-applied-choice-analysis?from_search=true

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