R for Marketing Research and Analytics
English, Chris Chapman, Elea McDonnell Feit, 2015More than 10 pieces in stock at supplier
Product details
This book is 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 them.
topic | Mathematics & Natural Sciences |
Language | English |
Author | Chris Chapman, Elea McDonnell Feit |
Year | 2015 |
Number of pages | 454 |
Book cover | Paperback |
Item number | 7659710 |
Publisher | Springer |
Category | Reference books |
Release date | 5.2.2018 |
topic | Mathematics & Natural Sciences |
Language | English |
Author | Chris Chapman, Elea McDonnell Feit |
Year | 2015 |
Number of pages | 454 |
Book cover | Paperback |
CO₂ emissions | 0,35 kg |
Climate contribution | EUR 0,12 |
Product Safety |
30-day right of return if unopened
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