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|2 21
|a 330.0113
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|a Handbook of choice modelling /
|c edited by Stephane Hess, Andrew Daly.
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| 246 |
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|a Choice modelling
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| 260 |
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|a Cheltenham :
|b Edward Elgar,
|c 2014
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| 300 |
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|a x, 708 p.
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| 504 |
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|a Bibliografía: p. 685-697.
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| 505 |
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|a 1. Introduction Stephane Hess and Andrew Daly. PART I: FOUNDATIONS 2. The New Science of Pleasure: Consumer Choice Behavior and the Measurement of Well-Being Daniel McFadden. 3. Psychological Research and Theories on Preferential Choice Jerome R. Busemeyer and Jorg Rieskamp. 4. Towards a More Complex Model of Risky Choice Graham Loomes and Simone Blackburn. PART II: OBSERVING PREFERENCES 5. Choice Context Konstadinos G. Goulias and Ram M. Pendyala. 6. Self-tracing and Reporting: State-of-the-Art in the Capture of Revealed Behaviour Nadine Rieser-Schussler and Kay W. Axhausen. 7. Stated Choice Experimental Design Theory: The Who, the What and the Why John M. Rose and Michiel C.J. Bliemer. 8. Best Worst Scaling: Theory and Methods Terry N. Flynn and A.A.J. Marley. 9. The Discrete Choice Experiment Approach to Environmental Contingent Valuation Richard T. Carson and Mikolaj Czajkowski. 10. Real Choices and Hypothetical Choices Glenn W. Harrison. PART III: MODELLING HETEROGENEITY 11. Nonparametric Approaches to the Describing Heterogeneity Mogens Fosgerau. 12. Attribute Processing as a Behavioural Strategy in Choice Making David Hensher. 13. Capturing Alternative Decision Rules in Travel Choice Models: A Critical Discussion Caspar G. Chorus. 14. Latent Class Structures: Taste Heterogeneity and Beyond Stephane Hess. PART IV: GOING BEYOND SIMPLE DISCRETE CHOICE 15. Models for Ordered Choices William Greene. 16. Discrete Choice Decision-Making with Multiple Decision Makers Within the Household Andre de Palma, Nathalie Picard and Ignacio Inoa. 17. Hybrid Choice Models Maya Abou Zeid and Moshe Ben-Akiva. 18. Choice Modeling and Risk Management Glenn W. Harrison and Jimmy Martinez-Correa. 19. Multiple Discrete-Continuous Choice Models: A Reflective Analysis and a Prospective View Chandra Bhat and Abdul Pinjari. PART V: SPECIFICATION, ESTIMATION AND INFERENCE 20. Bayesian Estimation of Random Utility Models Peter Lenk. 21. Simple Ways to Estimate Choice Models for Single Consumers Bart Frischknecht, Christine Eckert, Jordan Louviere and Tiago Ribeiro. 22. Hybrid Choice Models: The Identification Problem Akshay Vij and Joan L. Walker. 23. Numerical Methods for Optimization-based Model Estimation and Inference David S. Bunch. PART VI: ANALYSIS AND USE OF RESULTS 24. Appraisal Anders Karlstrom. 25. Forecasting Andrew Daly. PART VII: AREA SPECIFIC RESEARCH NEEDS 26. Deciding How to Decide: An Agenda for Multi-Stage Choice Modeling Research in Marketing Joffre Swait and Fred Feinberg. 27. Choice Modelling Research in Environmental and Resource Economics Wiktor L. Adamowicz, Klaus Glenk and Jurgen Meyerhoff. 28. Choice Modelling Research in Health Economics Emily Lancsar and Peter Burge. 29. Transport Research Needs Juan de Dios Ortuzar, Elisabetta Cherchi and Luis Ignacio Rizzi.
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| 520 |
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|a This Handbook provides an authoritative and in-depth overview of the essential topics related to the increasingly important field of choice modelling: a key tool for the understanding of behaviour and used to support decision-making across many areas such as transportation, health economics, environmental analysis and marketing. The Handbook of Choice Modelling, composed of contributions from senior figures in the field, summarizes the essential analytical techniques and discusses the key current research issues. The book opens with Nobel Laureate Daniel McFadden calling for deeper engagement with more behavioural and psychological fields, and this is followed by supporting chapters on behavioural economics and mathematical psychology. Further chapters explore the elicitation of data and the context of observation; inter-personal variation; the modelling of complex choice processes taking account of heterogeneity; extending the models to deal with more complex choices; statistical processes for the understanding of data; and finally the practical application of these methods. A final group of chapters discusses the research needs of specific application areas. Offering a unique collection of contributions from many of the top researchers in choice modelling, this Handbook provides essential reading for academics, students and practitioners in a wide range of areas.
|b Review: `There have been some exciting developments in choice modeling, but much of this work is only accessible to those attending conferences like the International Choice Modeling Conference where researchers from many different fields can share their work. This Handbook brings the best of this new work to a wider audience. The editors have convinced many of the top researchers in choice modeling to contribute essays, and the resulting Handbook is the only reference I know that comes close to covering the current state of the art in choice modeling.' -- David Brownstone, University of California, Irvine, US `A truly astonishing collection of papers. This book is the new place to go for learning the latest and greatest in choice modelling.' -- Kenneth Train, University of California, Berkeley, US `Choice modelling has been the focus of intensive research activities during the last decades. This book proposes a fantastic consolidation of these recent developments, written by the major actors in the field, including Daniel McFadden, Nobel Laureate. The good balance between fundamental topics and applied considerations, as well as the coverage of area-specific aspects, make it an exceptional reference for researchers and practitioners interested in human choices.' -- Michel Bierlaire, EPFL Lausanne, Switzerland `Decision-making underpins daily life, from the simple to the complex. Neurophysiologists, psychologists and economists have all spent decades studying decision-making from very different perspectives. Theoretical advances in the different fields have complementary strengths, creating the need for an integrated approach. This book represents a milestone in bringing together different theoretical perspectives on decision-making, setting the foundations for exciting new multi-disciplinary approaches.' -- Scott Brown, The University of Newcastle, Australia
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| 650 |
|
4 |
|a ECONOMIA
|9 242
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| 650 |
|
4 |
|a MODELOS MATEMATICOS
|9 356
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| 650 |
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4 |
|a TRANSPORTE
|9 1967
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| 650 |
|
4 |
|a PRONOSTICOS
|9 1433
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| 653 |
|
4 |
|a ESTIMACION NO PARAMETRICA
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| 653 |
|
4 |
|a MODELO NO PARAMETRICO
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| 700 |
1 |
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|9 8843
|a Hess, Stephane,
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| 700 |
1 |
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|9 8844
|a Daly, Andrew,
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| 856 |
4 |
|
|u http://www.stephanehess.me.uk/
|y Información sobre el editor
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| 942 |
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| 945 |
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|a BEA
|c 2017-09-28
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