Discrete Choice Methods with Simulation
Saved in:
| 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) |
| FullText | Links: – 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 |
| IllustrationInfo | |
| ImageInfo | – Size: thumb Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$304795$PDF&s=r – Size: medium Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$304795$PDF&s=d |
| Items | – Name: Title Label: Title Group: Ti Data: Discrete Choice Methods with Simulation – Name: Abstract Label: Description Group: Ab 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kenneth+E%2E+Train%22">Kenneth E. Train</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Consumers'+preferences--Simulation+methods%22">Consumers' preferences--Simulation methods</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making--Simulation+methods%22">Decision making--Simulation methods</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Cybernetics%22">COMPUTERS / Cybernetics</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=304795 |
| RecordInfo | BibRecord: BibEntity: Classifications: – 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 BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kenneth E. Train – PersonEntity: Name: NameFull: Kenneth E. Train IsPartOfRelationships: – BibEntity: 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 |
| ResultId | 1 |