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Bayesian Statistics And Marketing 2nd Edition 2nd Peter E Rossi

  • SKU: BELL-58442560
Bayesian Statistics And Marketing 2nd Edition 2nd Peter E Rossi
$ 31.00 $ 45.00 (-31%)

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Bayesian Statistics And Marketing 2nd Edition 2nd Peter E Rossi instant download after payment.

Publisher: John Wiley & Sons
File Extension: PDF
File size: 8.85 MB
Pages: 402
Author: Peter E. Rossi, Greg M. Allenby, Sanjog Misra
ISBN: 9781394219117, 1394219113
Language: English
Year: 2024
Edition: 2nd

Product desciption

Bayesian Statistics And Marketing 2nd Edition 2nd Peter E Rossi by Peter E. Rossi, Greg M. Allenby, Sanjog Misra 9781394219117, 1394219113 instant download after payment.

Fine-tune your marketing research with this cutting-edge statistical toolkit Bayesian Statistics and Marketing illustrates the potential for applying a Bayesian approach to some of the most challenging and important problems in marketing. Analyzing household and consumer data, predicting product performance, and custom-targeting campaigns are only a few of the areas in which Bayesian approaches promise revolutionary results. This book provides a comprehensive, accessible overview of this subject essential for any statistically informed marketing researcher or practitioner. Economists and other social scientists will find a comprehensive treatment of many Bayesian methods that are central to the problems in social science more generally. This includes a practical approach to computationally challenging problems in random coefficient models, non-parametrics, and the problems of endogeneity. Readers of the second edition of Bayesian Statistics and Marketing will also find: Discussion of Bayesian methods in text analysis and Machine Learning Updates throughout reflecting the latest research and applications Discussion of modern statistical software, including an introduction to the R package bayesm, which implements all models incorporated here Extensive case studies throughout to link theory and practice Bayesian Statistics and Marketing is ideal for advanced students and researchers in marketing, business, and economics departments, as well as for any statistically savvy marketing practitioner.

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