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Discrete Choice Methods with Simulation.

Train, Kenneth E.

Discrete Choice Methods with Simulation.

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Discrete Choice Methods with Simulation./
作者:	Train, Kenneth E.
出版者:	Cambridge :Cambridge University Press, : 2003.,
面頁冊數:	344 p.
標題:	Decision making. -
電子資源:	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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505 0 $a 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
520 $a 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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538 $a Mode of access: World Wide Web.
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