Discrete Choice Methods with Simulation

Train, Kenneth E.

Published by Cambridge University Press, 2009
ISBN 10: 0521747384 / ISBN 13: 9780521747387
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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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Title: Discrete Choice Methods with Simulation
Publisher: Cambridge University Press
Publication Date: 2009
Binding: Soft cover
Book Condition: New

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Train, Kenneth E.
Published by Cambridge University Press (2009)
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Book Description Cambridge University Press. Paperback. Book Condition: new. BRAND NEW, Discrete Choice Methods with Simulation (2nd Revised edition), Kenneth E. Train, 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. Bookseller Inventory # B9780521747387

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Book Description CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2009. Paperback. Book Condition: New. 2nd Revised edition. 226 x 150 mm. Language: English . Brand New Book. 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. Bookseller Inventory # AAU9780521747387

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Book Description Cambridge University Press, 2009. PAP. Book Condition: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Bookseller Inventory # BB-9780521747387

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Book Description Cambridge University Press, 2009. PAP. Book Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # I2-9780521747387

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Book Description CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2009. Paperback. Book Condition: New. 2nd Revised edition. 226 x 150 mm. Language: English . Brand New Book. 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. Bookseller Inventory # AAU9780521747387

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Book Description Cambridge University Press 2009-06-30, 2009. Book Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Bookseller Inventory # NU-ING-00170682

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Book Description Cambridge University Press. Paperback. Book Condition: New. Paperback. 408 pages. Dimensions: 8.9in. x 5.9in. x 1.0in.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. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The 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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9780521747387

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