Discrete Choice Methods with Simulation

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Title: Discrete Choice Methods with Simulation
Description: 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.
Authors: Kenneth E. Train
Resource Type: eBook.
Subjects: Consumers' preferences--Simulation methods, Decision making--Simulation methods
Categories: COMPUTERS / Cybernetics
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 304795
RelevancyScore: 1025
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1024.62744140625
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  Data: 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.
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RecordInfo BibRecord:
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      – Code: 003.56
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Consumers' preferences--Simulation methods
        Type: general
      – SubjectFull: Decision making--Simulation methods
        Type: general
    Titles:
      – TitleFull: Discrete Choice Methods with Simulation
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Kenneth E. Train
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            NameFull: Kenneth E. Train
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2009
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780521766555
            – Type: isbn-electronic
              Value: 9780511651366
          Titles:
            – TitleFull: Discrete Choice Methods with Simulation
              Type: main
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