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2007-02-03

Discrete Choice with Simulation

Author: Kenneth Train

Copyright (c) 2001. Kenneth Train.

Keywords: discrete choice, logit, simulation

This electronic version of Discrete Choice Methods with Simulation is made available for use by individuals for their personal research and study. Permission is not granted to use any part of this work for any other purpose whatsoever without the express written consent of the Cambridge University Press.

  • Quotations on Jacket
  • Errata discovered since publication
  • Front Material
  • Chapter 1. Introduction
  • Chapter 2. Properties of Discrete Choice Models
  • Chapter 3. Logit
  • Chapter 4. GEV
  • Chapter 5. Probit
  • Chapter 6. Mixed Logit
  • Chapter 7. Variations on a Theme
  • Chapter 8. Numerical Maximization
  • Chapter 9. Drawing from Densities
  • Chapter 10. Simulation-Assisted Estimation
  • Chapter 11. Individual-Level Parameters
  • Chapter 12. Bayesian Procedures
  • Bibliography
  • Index
  • Platforms: Gauss. The same Gauss program can be run on either Unix (Solaris 7) or PC (W95/98/NT) platforms

    89099.zip
    大小:(1.75 MB)

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    本附件包括:

    • bib.pdf
    • ch1.pdf
    • ch10.pdf
    • ch11.pdf
    • ch12.pdf
    • ch2.pdf
    • ch3.pdf
    • ch4.pdf
    • ch5.pdf
    • ch6.pdf
    • ch7.pdf
    • ch8.pdf
    • ch9.pdf
    • index.pdf
    • pre.pdf

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    大小:(383.03 KB)

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    2007-2-4 13:19:00
    以下是引用iammt在2007-2-3 20:23:00的发言:

    Discrete Choice with Simulation

    Author: Kenneth Train

    Copyright (c) 2001. Kenneth Train.

    Keywords: discrete choice, logit, simulation

    This electronic version of Discrete Choice Methods with Simulation is made available for use by individuals for their personal research and study. Permission is not granted to use any part of this work for any other purpose whatsoever without the express written consent of the Cambridge University Press.

  • Quotations on Jacket
  • Errata discovered since publication
  • Front Material
  • Chapter 1. Introduction
  • Chapter 2. Properties of Discrete Choice Models
  • Chapter 3. Logit
  • Chapter 4. GEV
  • Chapter 5. Probit
  • Chapter 6. Mixed Logit
  • Chapter 7. Variations on a Theme
  • Chapter 8. Numerical Maximization
  • Chapter 9. Drawing from Densities
  • Chapter 10. Simulation-Assisted Estimation
  • Chapter 11. Individual-Level Parameters
  • Chapter 12. Bayesian Procedures
  • Bibliography
  • Index
  • Platforms: Gauss. The same Gauss program can be run on either Unix (Solaris 7) or PC (W95/98/NT) platforms

    Archive files:



    很8错的一本书,thx a lot~~

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    2007-2-15 06:46:00
    Great thanks. It is indeed a good book.
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    2008-2-18 14:12:00
    hao
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    2009-3-18 15:45:00
    3q !!!
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    2009-3-18 17:22:00
    多谢
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