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Discrete Choice Methods with Simulation.
~
Train, Kenneth E.
Discrete Choice Methods with Simulation.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Discrete Choice Methods with Simulation./
Author:
Train, Kenneth E.
Published:
Cambridge :Cambridge University Press, : 2003.,
Description:
344 p.
Subject:
Decision making. -
Online resource:
Click here to view book
ISBN:
9780511753930 (electronic bk.)
Discrete Choice Methods with Simulation.
Train, Kenneth E.
Discrete Choice Methods with Simulation.
[electronic resource]. - Cambridge :Cambridge University Press,2003. - 344 p.
Cover; Half-title; Title; Copyright; Contents; Dedication; 1 Introduction; 1.1 Motivation; 1.2 Choice Probabilities and Integration; 1.3 Outline of Book; 1.4 Topics Not Covered; 1.5 A Couple of Notes; 2 Properties of Discrete Choice Models; 3 Logit; 4 GEV; 5 Probit; 6 Mixed Logit; 7 Variations on a Theme; 8 Numerical Maximization; 9 Drawing from Densities; 10 Simulation-Assisted Estimation; 11 Individual-Level Parameters; 12 Bayesian Procedures; Bibliography; Index
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. The procedures are applicable in many fields, including energy, transportation, environment, health, and labor.
Electronic reproduction.
Available via World Wide Web.
Mode of access: World Wide Web.
ISBN: 9780511753930 (electronic bk.)Subjects--Topical Terms:
72964
Decision making.
Index Terms--Genre/Form:
96803
Electronic books.
LC Class. No.: HD30.23 .T725 2003eb
Dewey Class. No.: 003/.56
Discrete Choice Methods with Simulation.
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Discrete Choice Methods with Simulation.
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[electronic resource].
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2003.
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Cambridge University Press,
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344 p.
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Cover; Half-title; Title; Copyright; Contents; Dedication; 1 Introduction; 1.1 Motivation; 1.2 Choice Probabilities and Integration; 1.3 Outline of Book; 1.4 Topics Not Covered; 1.5 A Couple of Notes; 2 Properties of Discrete Choice Models; 3 Logit; 4 GEV; 5 Probit; 6 Mixed Logit; 7 Variations on a Theme; 8 Numerical Maximization; 9 Drawing from Densities; 10 Simulation-Assisted Estimation; 11 Individual-Level Parameters; 12 Bayesian Procedures; Bibliography; Index
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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. The procedures are applicable in many fields, including energy, transportation, environment, health, and labor.
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Click here to view book
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http://ebooks.cambridge.org/ebook.jsf?bid=CBO9780511753930
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