國立虎尾科技大學 |

Applied choice analysis : = a primer /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Applied choice analysis :/ David A. Hensher, John M. Rose, William H. Greene.
其他題名:	a primer /
作者:	Hensher, David A.,
其他作者:	Greene, William H.,
面頁冊數:	1 online resource (xxiv, 717 pages) :digital, PDF file(s). :
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Decision making - Mathematical models. -
電子資源:	https://doi.org/10.1017/CBO9780511610356
ISBN:	9780511610356 (ebook)

Applied choice analysis : = a primer /
Hensher, David A.,1947-

Applied choice analysis :a primer /David A. Hensher, John M. Rose, William H. Greene. - 1 online resource (xxiv, 717 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

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.

ISBN: 9780511610356 (ebook)Subjects--Topical Terms:

528289
Decision making
--Mathematical models.

LC Class. No.: QA279.4 / .H46 2005

Dewey Class. No.: 658.4033

Applied choice analysis : = a primer /
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500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520 $a 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.
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