Bayesian Statistics and Marketing

4,27 valoración promedio
( 11 valoraciones por Goodreads )
 
9780470863671: Bayesian Statistics and Marketing

The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in part, to computational and modelling breakthroughs, making its implementation ideal for many marketing problems. Bayesian analyses can now be conducted over a wide range of marketing problems, from new product introduction to pricing, and with a wide variety of different data sources.

Bayesian Statistics and Marketing describes the basic advantages of the Bayesian approach, detailing the nature of the computational revolution. Examples contained include household and consumer panel data on product purchases and survey data, demand models based on micro-economic theory and random effect models used to pool data among respondents. The book also discusses the theory and practical use of MCMC methods.

Written by the leading experts in the field, this unique book:

  • Presents a unified treatment of Bayesian methods in marketing, with common notation and algorithms for estimating the models.
  • Provides a self-contained introduction to Bayesian methods.
  • Includes case studies drawn from the authors’ recent research to illustrate how Bayesian methods can be extended to apply to many important marketing problems.
  • Is accompanied by an R package, bayesm, which implements all of the models and methods in the book and includes many datasets. In addition the book’s website hosts datasets and R code for the case studies.
Bayesian Statistics and Marketing provides a platform for researchers in marketing to analyse their data with state-of-the-art methods and develop new models of consumer behaviour. It provides a unified reference for cutting-edge marketing researchers, as well as an invaluable guide to this growing area for both graduate students and professors, alike.

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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)

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1.

Peter E. Rossi, Greg M. Allenby, Rob McCulloch
Editorial: John Wiley and Sons Ltd, United Kingdom (2006)
ISBN 10: 0470863676 ISBN 13: 9780470863671
Nuevos Tapa dura Primera edición Cantidad: 10
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(London, Reino Unido)
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Descripción John Wiley and Sons Ltd, United Kingdom, 2006. Hardback. Estado de conservación: New. 1. Auflage. Language: English . Brand New Book. The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in part, to computational and modelling breakthroughs, making its implementation ideal for many marketing problems. Bayesian analyses can now be conducted over a wide range of marketing problems, from new product introduction to pricing, and with a wide variety of different data sources. Bayesian Statistics and Marketing describes the basic advantages of the Bayesian approach, detailing the nature of the computational revolution. Examples contained include household and consumer panel data on product purchases and survey data, demand models based on micro-economic theory and random effect models used to pool data among respondents. The book also discusses the theory and practical use of MCMC methods. Written by the leading experts in the field, this unique book: Presents a unified treatment of Bayesian methods in marketing, with common notation and algorithms for estimating the models.Provides a self-contained introduction to Bayesian methods.Includes case studies drawn from the authors recent research to illustrate how Bayesian methods can be extended to apply to many important marketing problems.Is accompanied by an R package, bayesm, which implements all of the models and methods in the book and includes many datasets. In addition the book s website hosts datasets and R code for the case studies. Bayesian Statistics and Marketing provides a platform for researchers in marketing to analyse their data with state-of-the-art methods and develop new models of consumer behaviour. It provides a unified reference for cutting-edge marketing researchers, as well as an invaluable guide to this growing area for both graduate students and professors, alike. Nº de ref. de la librería AAH9780470863671

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Descripción Estado de conservación: New. Brand New. US Edition Book. We do not ship to Military Addresses. Fast Shipping with Order Tracking. For Standard Shipping 7-8 business days & Expedite Shipping 4-6 business days, after shipping. Nº de ref. de la librería 0470863676-RMX

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Peter E. Rossi, Greg M. Allenby, Rob McCulloch
Editorial: John Wiley and Sons Ltd, United Kingdom (2006)
ISBN 10: 0470863676 ISBN 13: 9780470863671
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Descripción John Wiley and Sons Ltd, United Kingdom, 2006. Hardback. Estado de conservación: New. 1. Auflage. Language: English . Brand New Book. The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in part, to computational and modelling breakthroughs, making its implementation ideal for many marketing problems. Bayesian analyses can now be conducted over a wide range of marketing problems, from new product introduction to pricing, and with a wide variety of different data sources. Bayesian Statistics and Marketing describes the basic advantages of the Bayesian approach, detailing the nature of the computational revolution. Examples contained include household and consumer panel data on product purchases and survey data, demand models based on micro-economic theory and random effect models used to pool data among respondents. The book also discusses the theory and practical use of MCMC methods. Written by the leading experts in the field, this unique book: Presents a unified treatment of Bayesian methods in marketing, with common notation and algorithms for estimating the models.Provides a self-contained introduction to Bayesian methods.Includes case studies drawn from the authors recent research to illustrate how Bayesian methods can be extended to apply to many important marketing problems.Is accompanied by an R package, bayesm, which implements all of the models and methods in the book and includes many datasets. In addition the book s website hosts datasets and R code for the case studies. Bayesian Statistics and Marketing provides a platform for researchers in marketing to analyse their data with state-of-the-art methods and develop new models of consumer behaviour. It provides a unified reference for cutting-edge marketing researchers, as well as an invaluable guide to this growing area for both graduate students and professors, alike. Nº de ref. de la librería AAH9780470863671

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ISBN 10: 0470863676 ISBN 13: 9780470863671
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Descripción Wileyand#8211;Blackwell, 2005. HRD. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería FW-9780470863671

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Descripción John Wiley and Sons Ltd. Hardback. Estado de conservación: new. BRAND NEW, Bayesian Statistics and Marketing, Peter E. Rossi, Greg M. Allenby, Rob McCulloch, The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in part, to computational and modelling breakthroughs, making its implementation ideal for many marketing problems. Bayesian analyses can now be conducted over a wide range of marketing problems, from new product introduction to pricing, and with a wide variety of different data sources. Bayesian Statistics and Marketing describes the basic advantages of the Bayesian approach, detailing the nature of the computational revolution. Examples contained include household and consumer panel data on product purchases and survey data, demand models based on micro-economic theory and random effect models used to pool data among respondents. The book also discusses the theory and practical use of MCMC methods. Written by the leading experts in the field, this unique book:* Presents a unified treatment of Bayesian methods in marketing, with common notation and algorithms for estimating the models.* Provides a self-contained introduction to Bayesian methods.* Includes case studies drawn from the authors' recent research to illustrate how Bayesian methods can be extended to apply to many important marketing problems.* Is accompanied by an R package, bayesm, which implements all of the models and methods in the book and includes many datasets. In addition the book's website hosts datasets and R code for the case studies.Bayesian Statistics and Marketing provides a platform for researchers in marketing to analyse their data with state-of-the-art methods and develop new models of consumer behaviour. It provides a unified reference for cutting-edge marketing researchers, as well as an invaluable guide to this growing area for both graduate students and professors, alike. Nº de ref. de la librería B9780470863671

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ISBN 10: 0470863676 ISBN 13: 9780470863671
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Descripción John Wiley and Sons Ltd, 2005. Estado de conservación: New. The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in part, to computational and modelling breakthroughs, making its implementation ideal for many marketing problems. Series: Wiley Series in Probability and Statistics. Num Pages: 368 pages, illustrations. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 177 x 253 x 26. Weight in Grams: 768. . 2005. 1st Edition. Hardcover. . . . . . Nº de ref. de la librería V9780470863671

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Peter E. Rossi; Greg M. Allenby; Robert McCulloch
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ISBN 10: 0470863676 ISBN 13: 9780470863671
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Descripción Wiley-Blackwell, 2005. Estado de conservación: New. book. Nº de ref. de la librería ria9780470863671_rkm

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Descripción John Wiley and Sons Ltd. Estado de conservación: New. The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in part, to computational and modelling breakthroughs, making its implementation ideal for many marketing problems. Series: Wiley Series in Probability and Statistics. Num Pages: 368 pages, illustrations. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 177 x 253 x 26. Weight in Grams: 768. . 2005. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Nº de ref. de la librería V9780470863671

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Descripción Estado de conservación: New. Depending on your location, this item may ship from the US or UK. Nº de ref. de la librería 97804708636710000000

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Peter E. Rossi; Greg M. Allenby; Rob McCulloch
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Descripción Wiley, 2005. Hardcover. Estado de conservación: New. book. Nº de ref. de la librería 0470863676

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