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Bayesian Statistics and Marketing (Wiley Series in Probability and Statistics)
 
 
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Bayesian Statistics and Marketing (Wiley Series in Probability and Statistics) [Hardcover]

Peter E. Rossi , Greg M. Allenby , Robert McCulloch

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Review

"..an asset for business schools and marketing researchers." (Technometrics, May 2007)

"′Bayesian Statistics and Marketing′ comes from three pioneers in the field of market research and fills a hole in the existing literature on the topic." (Journal of the American Statistical Association, December 2006)

"…extremely useful to both researchers and practitioners who are interested in understanding the power of these methods for solving important marketing problems." (Journal of Marketing, October 2006)

" This book deserves to be widely adopted by business schools, and widely read by more numerate marketing practitioners." (Short Book Reviews, April 2006)

" … valuable to marketing researchers and others working on related applications, especially if they use advanced logistic and probit models." (JRSSA, Vol. 169, No. 4, October 2006)

" … an excellent book for researchers in applied Bayesian statistics." (Journal of Applied Statistics, Vol. 33: 9, 1034, November 2006)

‘…an important study tool for potential practitioners or all those researchers who study Bayesian methods through "learning by doing" (Statistical Papers,48,2007)

Review

"..an asset for business schools and marketing researchers." (Technometrics, May 2007)

"′Bayesian Statistics and Marketing′ comes from three pioneers in the field of market research and fills a hole in the existing literature on the topic." (Journal of the American Statistical Association, December 2006)

"…extremely useful to both researchers and practitioners who are interested in understanding the power of these methods for solving important marketing problems." (Journal of Marketing, October 2006)

"This book deserves to be widely adopted by business schools, and widely read by more numerate marketing practitioners." (Short Book Reviews, April 2006)

" … valuable to marketing researchers and others working on related applications, especially if they use advanced logistic and probit models." (JRSSA, Vol. 169, No. 4, October 2006)

" … an excellent book for researchers in applied Bayesian statistics." (Journal of Applied Statistics, Vol. 33: 9, 1034, November 2006)

‘…an important study tool for potential practitioners or all those researchers who study Bayesian methods through "learning by doing" (Statistical Papers,48,2007)


Inside This Book (Learn More)
First Sentence
The past ten years have seen a dramatic increase in the use of Bayesian methods in marketing. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index
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Amazon.com:  2 reviews
5 of 5 people found the following review helpful
Not only marketing 18 Dec 2010
By Dimitri Shvorob - Published on Amazon.com
Format:Hardcover
I will disagree with Eric on this book being a must-have for any "applied quantitative" statistics or marketing Ph.D. student, and call it a must-see for people interested in Bayesian discrete-choice modeling. The five case studies are all examples of marketing research, but are relevant to a much broader audience - consider, for example, "scale usage heterogeneity", affecting analysis of rating-scale responses. The case-study chapters are the book's forte, but it also offers a proper and rigorous introduction to Bayesian modeling, including the expected topics such as simulation (MCMC, Gibbs sampler, etc.) and linear regression, but also chapters on HLM, endogeneity, and model selection. The authors discuss doing Bayesian computation with R package bayesm, but regrettably relegate R material to appendices instead of integrating it into the main narrative and making implementation transparent and reproducible.
21 of 32 people found the following review helpful
Rossi book is a must! 13 April 2006
By Eric T. Bradlow - Published on Amazon.com
Format:Hardcover
Rossi, McCulloch, and Allenby is a must read for any applied

quantitative doctoral student in Marketing or Statistics. ?It provides

real applications, how to fit Bayesian models, and the challenges and

choices that the researcher faces. ?In summary, it is a book that

highlights and legitimizes the field of Bayesian Marketing as its own

and important discipline. ?We owe the authors a debt of gratitude.

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