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Applied choice analysis: a primer

By: Contributor(s): Material type: TextTextPublication details: Cambridge Cambridge University Press 2007Description: xxiv, 717 pISBN:
  • 9780521605779
Subject(s): DDC classification:
  • 658.4033 H3A7
Summary: Almost without exception, everything human beings undertake involves a choice. In recent years there has been a growing interest in the development and application of quantitative statistical methods to study choices made by individuals with the purpose of gaining a better understanding both of how choices are made and of forecasting future choice responses. In this primer the authors provide an unintimidating introduction to the main techniques of choice analysis and include detail on themes such as data collection and preparation, model estimation and interpretation and the design of choice experiments. A companion website to the book provides practice data sets and software to estimate the main discrete choice models such as multinomial logit, nested logit and mixed logit. This primer will be an invaluable resource to students as well as of immense value to consultants and professionals, researchers and anyone else interested in choice analysis and modelling. (http://www.cambridgeindia.org/showbookdetails.asp?ISBN=9780521844260)
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Books Vikram Sarabhai Library Rack 38-A / Slot 2114 (2nd Floor, East Wing) Non-fiction General Stacks 658.4033 H3A7 (Browse shelf(Opens below)) Available 188323

Almost without exception, everything human beings undertake involves a choice. In recent years there has been a growing interest in the development and application of quantitative statistical methods to study choices made by individuals with the purpose of gaining a better understanding both of how choices are made and of forecasting future choice responses. In this primer the authors provide an unintimidating introduction to the main techniques of choice analysis and include detail on themes such as data collection and preparation, model estimation and interpretation and the design of choice experiments. A companion website to the book provides practice data sets and software to estimate the main discrete choice models such as multinomial logit, nested logit and mixed logit. This primer will be an invaluable resource to students as well as of immense value to consultants and professionals, researchers and anyone else interested in choice analysis and modelling.
(http://www.cambridgeindia.org/showbookdetails.asp?ISBN=9780521844260)

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