Bayesian Statistics And Marketing,New

Bayesian Statistics And Marketing,New

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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 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 microeconomic 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 selfcontained 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 books 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 stateoftheart methods and develop new models of consumer behaviour. It provides a unified reference for cuttingedge marketing researchers, as well as an invaluable guide to this growing area for both graduate students and professors, alike.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

  • Q: How many pages does 'Bayesian Statistics and Marketing' have? A: This book has three hundred eighty-four pages. It provides extensive coverage of Bayesian methods in marketing.
  • Q: What is the binding type of this book? A: The binding type is hardcover. This ensures durability and a professional appearance for academic use.
  • Q: What are the dimensions of 'Bayesian Statistics and Marketing'? A: The book measures six point nine seven inches in length, one point zero six inches in width, and ten point zero two inches in height. These dimensions make it suitable for library and personal use.
  • Q: How do I apply Bayesian methods in marketing? A: You can apply Bayesian methods by using the techniques outlined in the book. It includes case studies and R code for practical implementation.
  • Q: Is this book suitable for beginners in statistics? A: Yes, it provides a self-contained introduction to Bayesian methods. Beginners will benefit from the clear explanations and case studies.
  • Q: What level of prior knowledge is needed to read this book? A: A basic understanding of statistics is helpful but not required. The book is designed to guide readers through the concepts of Bayesian analysis.
  • Q: How should I store this hardcover book? A: Store it upright on a shelf or in a bookcase. Avoid exposure to direct sunlight to prevent fading of the cover and pages.
  • Q: Is there any special care required for this book? A: No special care is required. Just keep it clean and dry to maintain its condition over time.
  • Q: Does this book come with any supplementary materials? A: Yes, it includes an R package called bayesm. This package implements the models and methods discussed in the book.
  • Q: Can this book help in advanced marketing research? A: Yes, it offers a unified treatment of Bayesian methods suitable for cutting-edge marketing research. It's a valuable resource for professionals in the field.
  • Q: How does this book compare to other statistics books? A: Unlike many statistics books, it focuses specifically on Bayesian methods in marketing. It provides practical applications and case studies, making it unique.
  • Q: Is this book appropriate for academic use? A: Yes, it is written by leading experts and is suitable for both graduate students and professors. It provides in-depth knowledge applicable to academic research.
  • Q: What kind of marketing problems can this book help with? A: It addresses a wide range of marketing problems, including product introduction and pricing strategies. The methods are applicable across various data sources.
  • Q: What is the author's background? A: The author, Peter E. Rossi, is a leading expert in marketing and statistics. His experience enhances the credibility of the content.
  • Q: Are there any updates or additional resources online? A: Yes, the book’s website hosts datasets and R code for the case studies, providing additional resources for readers.
  • Q: Is the content of this book suitable for professionals in marketing? A: Absolutely, the book is tailored for marketing researchers and practitioners, offering state-of-the-art methods for analyzing consumer behavior.

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