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Applied choice analysis

By: Contributor(s): Material type: TextTextPublication details: Cambridge Cambridge University Press 2015Edition: 2nd edDescription: xxx, 1188 pISBN:
  • 9781107465923
Subject(s): DDC classification:
  • 519.542 H3A7-2015
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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Item type Current library Item location Collection Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 33-A / Slot 1676 (2nd Floor, East Wing) Non-fiction General Stacks 519.542 H3A7-2015 (Browse shelf(Opens below)) Checked out 11/07/2025 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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