Rossi, Peter E. <br/><br/>
Bayesian statistics and marketing 
Rossi, Peter E. 
 - New Jersey  John Wiley & Sons, Ltd  2005 
 - x, 348 p.  ill.  
 - Wiley series in probability and statistics .
<br/><br/> Includes bibliographical references (p. [335]-339) and index. 
<br/><br/> 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 
<br/><br/><label>ISBN: </label>0470863676 9780470863671 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Marketing research - Mathematical models<br/>Marketing - Mathematical models<br/>Business statistical decision theory
<br/><br/><label>Dewey Class. No.: </label>658.83