Bayesian statistics and marketing Rossi, Peter E.

By:

Rossi, Peter E

Contributor(s):

Material type: Text

TextSeries: Wiley series in probability and statisticsPublication details: New Jersey John Wiley & Sons, Ltd 2005 Description: x, 348 p. illISBN:

0470863676
9780470863671

Subject(s):

DDC classification:

658.83

Summary: The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in part, to computational and modeling 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

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Book	Ahmedabad	658.83 R6B2 (Browse shelf(Opens below))	Available		159966

Total holds: 0

Browsing Ahmedabad shelves Close shelf browser (Hides shelf browser)

		No cover image available					Next
	658.83 R4C6 Consumer behaviour: behavioural aspects of marketing	658.83 R4S2 Satisfying: the experienced on-line shopper: global e-shopping survey	658.83 R6B2 Bayesian statistics and marketing	658.83 S2C61 Consumer behaviour in Asia	658.83 S6C6/2003 Consumer behaviour: buying, having, and being	658.83 S6F8 Fundamentals of marketing research	Next

Includes bibliographical references (p. [335]-339) and index.

The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in part, to computational and modeling 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

There are no comments on this title.

to post a comment.