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Discrete choice methods with simulation /
"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:...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge ; New York :
Cambridge University Press,
2009.
|
| Edición: | 2nd ed. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Train, Kenneth, |e author. | |
| 245 | 1 | 0 | |a Discrete choice methods with simulation / |c Kenneth E. Train. |
| 250 | |a 2nd ed. | ||
| 260 | |a Cambridge ; |a New York : |b Cambridge University Press, |c 2009. | ||
| 300 | |a 1 online resource (x, 388 pages) : |b illustrations | ||
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| 504 | |a Includes bibliographical references (pages 371-383) and index. | ||
| 505 | 0 | |a Introduction -- pt. I. Behavioral models -- Properties of discrete choice models -- Logit -- GEV -- Probit -- Mixed logit -- Variations on a theme -- pt. II. Estimation -- Numerical maximization -- Drawing from densities -- Simulation-assisted estimation -- Individual-level parameters -- Bayesian procedures -- Endogeneity -- EM algorithms. | |
| 520 | |a "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."--Pub. desc | ||
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| 650 | 0 | |a Decision making |x Simulation methods. | |
| 650 | 0 | |a Consumers' preferences |x Simulation methods. | |
| 650 | 6 | |a Prise de décision |x Méthodes de simulation. | |
| 650 | 6 | |a Consommateurs |x Préférences |x Méthodes de simulation. | |
| 650 | 7 | |a COMPUTERS |x Cybernetics. |2 bisacsh | |
| 650 | 7 | |a Decision making |x Simulation methods |2 fast | |
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| 650 | 7 | |a Probit-Modell |2 gnd | |
| 650 | 7 | |a Simulation |2 gnd | |
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| 776 | 0 | 8 | |i Print version: |a Train, Kenneth. |t Discrete choice methods with simulation. |b 2nd ed. |d Cambridge ; New York : Cambridge University Press, 2009 |z 9780521766555 |w (DLC) 2009020438 |w (OCoLC)349248337 |
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