Discrete Choice Methods with Simulation (Paperback or Softback)

Train, Kenneth E.

ISBN 10: 0521747384 / ISBN 13: 9780521747387

Edité par Cambridge University Press 7/1/2009, 2009

A propos de cet article

Discrete Choice Methods with Simulation 1.2. N° de réf. du vendeur BBS-9780521747387

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Titre : Discrete Choice Methods with Simulation (...

Éditeur : Cambridge University Press 7/1/2009

Date d'édition : 2009

Reliure : Paperback or Softback

Etat : New

Edition : 2ème Édition

Type de livre : Book

A propos de ce titre

Synopsis :

Book by Train Kenneth E

Revue de presse:

'Simulation methods have unshackled discrete choice analysis, breaking down the computational barriers to use of plausible, interpretable models. Kenneth Train provides an excellent road map for both econometric specialists and practitioners through this comprehensive, readable treatment that pulls together the research literature and provides many new and useful results.' Daniel McFadden, Nobel Laureate, University of California, Berkeley

'An outstanding textbook for advanced students and a reference for experienced practitioners of discrete choice analysis. The text covers modern simulation methods that advanced choice modelers should know. The book is blessed by Kenneth Train's unique gift for simplifying and explaining the topic.' Moshe Ben-Akiva, Massachusetts Institute of Technology

'A must have, must read book for academics and practitioners interested in understanding, modelling and predicting decision-making and choice behavior. As we have come to expect from Ken, his new book makes very complex topics accessible to a wide audience. The book covers the basics through to leading-edge thought and work in complex model systems using Bayesian and simulation estimation methods. But wait there's more! There's 'Ken the movie'! You also can watch and listen to Ken's lectures on each topic via his UC Berkeley website and access his lecture notes. An unbeatable package for serious students that sets a new standard in educational communication for the field of probabilistic discrete choice modelling.' Jordan Louviere, University of Technology, Sydney, Australia

'Discrete Choice Methods with Simulation represents a timely and welcome addition to the literature on discrete choice modelling.' Journal of Applied Econometrics