Discrete Choice Methods With Simulation (Hb 2007)

Train, Kenneth E.

ISBN 10: 0521816963 / ISBN 13: 9780521816960

Edité par Cambridge University Press, 2003

A propos de cet article

This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. N° de réf. du vendeur ABNR-52445

Détails bibliographiques

Titre : Discrete Choice Methods With Simulation (Hb ...

Éditeur : Cambridge University Press

Date d'édition : 2003

Reliure : Couverture rigide

Etat : New

A propos de ce titre

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