Bayesian statistics and marketing
Rossi, Peter E.
Bayesian statistics and marketing Rossi, Peter E. - New Jersey John Wiley & Sons, Ltd 2005 - x, 348 p. ill. - Wiley series in probability and statistics .
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
0470863676 9780470863671
Marketing research - Mathematical models
Marketing - Mathematical models
Business statistical decision theory
658.83
Bayesian statistics and marketing Rossi, Peter E. - New Jersey John Wiley & Sons, Ltd 2005 - x, 348 p. ill. - Wiley series in probability and statistics .
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
0470863676 9780470863671
Marketing research - Mathematical models
Marketing - Mathematical models
Business statistical decision theory
658.83