Discrete Choice Methods with Simulation Tapa blanda - 2003

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.

Detalles

• Título Discrete Choice Methods with Simulation
• Autor Kenneth E. Train
• Encuadernación Tapa blanda
• Edición U. S. EDITION
• Páginas 342
• Volúmenes 1
• Idioma ENG
• Editorial Cambridge University Press
• Fecha de publicación January 13, 2003
• ISBN 9780521017152 / 0521017157
• Peso 1 libras (0.45 kg)
• Dimensiones 9.26 x 6.02 x 0.72 pulgadas (23.52 x 15.29 x 1.83 cm)
• Library of Congress subjects Decision making - Simulation methods, Consumers' preferences - Simulation methods
• Número de catálogo de la Librería del Congreso de EEUU 2002071479
• Dewey Decimal Code 003.56