R for Marketing Research and Analytics

Business & Finance, Economics, Statistics, Nonfiction, Science & Nature, Mathematics, Computers, Application Software
Cover of the book R for Marketing Research and Analytics by Chris Chapman, Elea McDonnell Feit, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Chris Chapman, Elea McDonnell Feit ISBN: 9783319144368
Publisher: Springer International Publishing Publication: March 9, 2015
Imprint: Springer Language: English
Author: Chris Chapman, Elea McDonnell Feit
ISBN: 9783319144368
Publisher: Springer International Publishing
Publication: March 9, 2015
Imprint: Springer
Language: English

This bookis a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis.

Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis.

With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This bookis a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis.

Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis.

With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications.

More books from Springer International Publishing

Cover of the book Selected Themes in African Development Studies by Chris Chapman, Elea McDonnell Feit
Cover of the book International Conference on Theory and Application in Nonlinear Dynamics (ICAND 2012) by Chris Chapman, Elea McDonnell Feit
Cover of the book Formal Aspects of Component Software by Chris Chapman, Elea McDonnell Feit
Cover of the book Handbook of Consumer Finance Research by Chris Chapman, Elea McDonnell Feit
Cover of the book Digital Libraries for Open Knowledge by Chris Chapman, Elea McDonnell Feit
Cover of the book Reconciliation and Education in Bosnia and Herzegovina by Chris Chapman, Elea McDonnell Feit
Cover of the book Diabetic Bone Disease by Chris Chapman, Elea McDonnell Feit
Cover of the book Towards Intellectual Property Rights Management by Chris Chapman, Elea McDonnell Feit
Cover of the book Radiobiology and Radiation Hormesis by Chris Chapman, Elea McDonnell Feit
Cover of the book Alternative Worlds Imagined, 1500-1700 by Chris Chapman, Elea McDonnell Feit
Cover of the book Neural Engineering by Chris Chapman, Elea McDonnell Feit
Cover of the book The Indonesian Genocide of 1965 by Chris Chapman, Elea McDonnell Feit
Cover of the book The Challenges of the Digital Transformation in Education by Chris Chapman, Elea McDonnell Feit
Cover of the book Studies on Hepatic Disorders by Chris Chapman, Elea McDonnell Feit
Cover of the book Granular-Relational Data Mining by Chris Chapman, Elea McDonnell Feit
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy