Bayesian Statistics and Marketing

Author: Peter E. Rossi
Edition: 1
Publisher: Wiley
Binding: Hardcover
ISBN: 0470863676
Price:
You Save: 23%

Bayesian Statistics and Marketing (Wiley Series in Probability and Statistics)

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 Statistics and Marketing review. 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 methodsRead full reviews of Bayesian Statistics And Marketing ....

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Bayesian Statistics and Marketing (Wiley Series in Probability and Statistics) - Greg M. Allenby, Peter E. Rossi, Rob Mcculloch

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"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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Store Search search Title, ISBN and Author Bayesian Statistics and Marketing by Peter E. Rossi, Greg M. Allenby, Rob McCulloch Estimated delivery 3-12 business days Format Hardcover Condition Brand 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. Publisher Description The past decade has seen a dramatic increase in the use of Bayesi

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author greg m allenby author peter e rossi author rob mcculloch format hardback language english publication year 28 10 2005 series wiley series in probability and statistics subject mathematics sciences subject 2 mathematics title bayesian statistics and marketing author rossi peter e allenby greg m mcculloch robert publisher john wiley sons inc publication date dec 06 2005 pages 348 binding hardcover edition 1 st dimensions 6 75 wx 9 75 hx 1 00 d isbn 0470863676 subject mathematics probabili

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Bayesian Statistics and Marketing, ISBN-13: 9780470863671, ISBN-10: 0470863676

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Bayesian Statistics and Marketing Reviews

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.