Applied choice analysis:
The second edition of this popular book brings students fully up to date with the latest methods and techniques in choice analysis. Comprehensive yet accessible, it offers a unique introduction to anyone interested in understanding how to model and forecast the range of choices made by individuals a...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2015
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| Ausgabe: | Second edition |
| Schlagworte: | |
| Online-Zugang: | DE-12 DE-634 DE-573 DE-92 DE-473 DE-19 DE-20 DE-29 Volltext |
| Zusammenfassung: | The second edition of this popular book brings students fully up to date with the latest methods and techniques in choice analysis. Comprehensive yet accessible, it offers a unique introduction to anyone interested in understanding how to model and forecast the range of choices made by individuals and groups. In addition to a complete rewrite of several chapters, new topics covered include ordered choice, scaled MNL, generalized mixed logit, latent class models, group decision making, heuristics and attribute processing strategies, expected utility theory, and prospect theoretic applications. Many additional case studies are used to illustrate the applications of choice analysis with extensive command syntax provided for all Nlogit applications and datasets available online. With its unique blend of theory, estimation, and application, this book has broad appeal to all those interested in choice modeling methods and will be a valuable resource for students as well as researchers, professionals, and consultants |
| Beschreibung: | 1 Online-Ressource (xxx, 1188 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781316136232 |
| DOI: | 10.1017/CBO9781316136232 |
Internformat
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| 520 | |a The second edition of this popular book brings students fully up to date with the latest methods and techniques in choice analysis. Comprehensive yet accessible, it offers a unique introduction to anyone interested in understanding how to model and forecast the range of choices made by individuals and groups. In addition to a complete rewrite of several chapters, new topics covered include ordered choice, scaled MNL, generalized mixed logit, latent class models, group decision making, heuristics and attribute processing strategies, expected utility theory, and prospect theoretic applications. Many additional case studies are used to illustrate the applications of choice analysis with extensive command syntax provided for all Nlogit applications and datasets available online. With its unique blend of theory, estimation, and application, this book has broad appeal to all those interested in choice modeling methods and will be a valuable resource for students as well as researchers, professionals, and consultants | ||
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| discipline | Mathematik Wirtschaftswissenschaften |
| doi_str_mv | 10.1017/CBO9781316136232 |
| edition | Second edition |
| format | Electronic eBook |
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| id | DE-604.BV043695098 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-20T08:44:39Z |
| institution | BVB |
| isbn | 9781316136232 |
| language | English |
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| spelling | Hensher, David A. 1947- Verfasser (DE-588)142773298 aut Applied choice analysis David A. Hensher (The University of Sydney Business School), John M. Rose (The University of Sydney Business School) William H. Greene (Stern School of Business, New York University) Second edition Cambridge Cambridge University Press 2015 1 Online-Ressource (xxx, 1188 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier The second edition of this popular book brings students fully up to date with the latest methods and techniques in choice analysis. Comprehensive yet accessible, it offers a unique introduction to anyone interested in understanding how to model and forecast the range of choices made by individuals and groups. In addition to a complete rewrite of several chapters, new topics covered include ordered choice, scaled MNL, generalized mixed logit, latent class models, group decision making, heuristics and attribute processing strategies, expected utility theory, and prospect theoretic applications. Many additional case studies are used to illustrate the applications of choice analysis with extensive command syntax provided for all Nlogit applications and datasets available online. With its unique blend of theory, estimation, and application, this book has broad appeal to all those interested in choice modeling methods and will be a valuable resource for students as well as researchers, professionals, and consultants Decision making / Mathematical models Probabilities / Mathematical models Choice Mathematisches Modell Statistische Entscheidungstheorie (DE-588)4077850-2 gnd rswk-swf Statistische Entscheidungstheorie (DE-588)4077850-2 s DE-604 Rose, John M. Verfasser (DE-588)130335355 aut Greene, William 1951- Verfasser (DE-588)124700551 aut Erscheint auch als Druck-Ausgabe, Hardcover 978-1-107-09264-8 Erscheint auch als Druck-Ausgabe, Paperback 978-1-107-46592-3 https://doi.org/10.1017/CBO9781316136232 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Hensher, David A. 1947- Rose, John M. Greene, William 1951- Applied choice analysis Decision making / Mathematical models Probabilities / Mathematical models Choice Mathematisches Modell Statistische Entscheidungstheorie (DE-588)4077850-2 gnd |
| subject_GND | (DE-588)4077850-2 |
| title | Applied choice analysis |
| title_auth | Applied choice analysis |
| title_exact_search | Applied choice analysis |
| title_full | Applied choice analysis David A. Hensher (The University of Sydney Business School), John M. Rose (The University of Sydney Business School) William H. Greene (Stern School of Business, New York University) |
| title_fullStr | Applied choice analysis David A. Hensher (The University of Sydney Business School), John M. Rose (The University of Sydney Business School) William H. Greene (Stern School of Business, New York University) |
| title_full_unstemmed | Applied choice analysis David A. Hensher (The University of Sydney Business School), John M. Rose (The University of Sydney Business School) William H. Greene (Stern School of Business, New York University) |
| title_short | Applied choice analysis |
| title_sort | applied choice analysis |
| topic | Decision making / Mathematical models Probabilities / Mathematical models Choice Mathematisches Modell Statistische Entscheidungstheorie (DE-588)4077850-2 gnd |
| topic_facet | Decision making / Mathematical models Probabilities / Mathematical models Choice Mathematisches Modell Statistische Entscheidungstheorie |
| url | https://doi.org/10.1017/CBO9781316136232 |
| work_keys_str_mv | AT hensherdavida appliedchoiceanalysis AT rosejohnm appliedchoiceanalysis AT greenewilliam appliedchoiceanalysis |