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: logit...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2003
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 UBG01 URL des Erstveröffentlichers |
| Zusammenfassung: | 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. Simulation-assisted estimation procedures are investigated and compared, including maximum simulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. No other book incorporates all these fields, which have arisen in the past 20 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (vii, 334 pages) |
| ISBN: | 9780511753930 |
| DOI: | 10.1017/CBO9780511753930 |
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| id | DE-604.BV043924046 |
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| indexdate | 2024-07-10T07:38:42Z |
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| isbn | 9780511753930 |
| language | English |
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| spelling | Train, Kenneth Verfasser aut Discrete choice methods with simulation Kenneth E. Train Cambridge Cambridge University Press 2003 1 online resource (vii, 334 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 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. Simulation-assisted estimation procedures are investigated and compared, including maximum simulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. No other book incorporates all these fields, which have arisen in the past 20 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing Decision making / Simulation methods Consumers' preferences / Simulation methods Entscheidungsverfahren (DE-588)4637781-5 gnd rswk-swf Simulation (DE-588)4055072-2 gnd rswk-swf Logit-Modell (DE-588)4230396-5 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Verbraucherverhalten (DE-588)4062644-1 gnd rswk-swf Kaufentscheidung (DE-588)4073328-2 gnd rswk-swf Probit-Modell (DE-588)4225469-3 gnd rswk-swf Entscheidungsverfahren (DE-588)4637781-5 s Logit-Modell (DE-588)4230396-5 s Probit-Modell (DE-588)4225469-3 s Simulation (DE-588)4055072-2 s 1\p DE-604 Verbraucherverhalten (DE-588)4062644-1 s Kaufentscheidung (DE-588)4073328-2 s Mathematisches Modell (DE-588)4114528-8 s 2\p DE-604 3\p DE-604 Erscheint auch als Druckausgabe 978-0-521-01715-2 Erscheint auch als Druckausgabe 978-0-521-81696-0 https://doi.org/10.1017/CBO9780511753930 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Train, Kenneth Discrete choice methods with simulation Decision making / Simulation methods Consumers' preferences / Simulation methods Entscheidungsverfahren (DE-588)4637781-5 gnd Simulation (DE-588)4055072-2 gnd Logit-Modell (DE-588)4230396-5 gnd Mathematisches Modell (DE-588)4114528-8 gnd Verbraucherverhalten (DE-588)4062644-1 gnd Kaufentscheidung (DE-588)4073328-2 gnd Probit-Modell (DE-588)4225469-3 gnd |
| subject_GND | (DE-588)4637781-5 (DE-588)4055072-2 (DE-588)4230396-5 (DE-588)4114528-8 (DE-588)4062644-1 (DE-588)4073328-2 (DE-588)4225469-3 |
| title | Discrete choice methods with simulation |
| title_auth | Discrete choice methods with simulation |
| title_exact_search | Discrete choice methods with simulation |
| title_full | Discrete choice methods with simulation Kenneth E. Train |
| title_fullStr | Discrete choice methods with simulation Kenneth E. Train |
| title_full_unstemmed | Discrete choice methods with simulation Kenneth E. Train |
| title_short | Discrete choice methods with simulation |
| title_sort | discrete choice methods with simulation |
| topic | Decision making / Simulation methods Consumers' preferences / Simulation methods Entscheidungsverfahren (DE-588)4637781-5 gnd Simulation (DE-588)4055072-2 gnd Logit-Modell (DE-588)4230396-5 gnd Mathematisches Modell (DE-588)4114528-8 gnd Verbraucherverhalten (DE-588)4062644-1 gnd Kaufentscheidung (DE-588)4073328-2 gnd Probit-Modell (DE-588)4225469-3 gnd |
| topic_facet | Decision making / Simulation methods Consumers' preferences / Simulation methods Entscheidungsverfahren Simulation Logit-Modell Mathematisches Modell Verbraucherverhalten Kaufentscheidung Probit-Modell |
| url | https://doi.org/10.1017/CBO9780511753930 |
| work_keys_str_mv | AT trainkenneth discretechoicemethodswithsimulation |