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Discrete Choice Methods with Simulation

Train, Kenneth E.

Published by Cambridge University Press
ISBN 10: 0521747384 / ISBN 13: 9780521747387
/ New / Condition: New / Soft cover
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Title: Discrete Choice Methods with Simulation

Publisher: Cambridge University Press

Binding: Soft cover

Book Condition: New

Description:

2009. 2nd Edition. Paperback. This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Num Pages: 400 pages, 46 b/w illus. 17 tables. BIC Classification: GPQ; KCH. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 22. Weight in Grams: 610. 408 pages, 46 b/w illus. 17 tables. This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Cateogry: (P) Professional & Vocational. BIC Classification: GPQ; KCH. Dimension: 228 x 152 x 22. Weight: 538. . . . . . Books ship from the US and Ireland. Bookseller Inventory # V9780521747387

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Synopsis: This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. This second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

Descrizione del libro: This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Each of the major models is covered including logit, generalized extreme value, or GEV, probit, and mixed logit, plus a variety of specifications that build on these basics.

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