Predictive Analytics: Parametric Models for Regression and Classification Using R (Wiley Probability and Statistics) (Wiley Series in Probability and Statistics)

by Ajit C. Tamhane and Edward C Malthouse

Edward C. Malthouse (Secondary Author)

0 ratings • 0 reviews • 0 shelved
Book cover for Predictive Analytics
Shelve It

Bookhype may earn a small commission from qualifying purchases. Full disclosure.

Provides a foundation in classical parametric methods of regression and classification essential for pursuing advanced topics in predictive analytics and statistical learning


This book covers a broad range of topics in parametric regression and classification including multiple regression, logistic regression (binary and multinomial), discriminant analysis, Bayesian classification, generalized linear models and Cox regression for survival data. The book also gives brief introductions to some modern computer-intensive methods such as classification and regression trees (CART), neural networks and support vector machines.


The book is organized so that it can be used by both advanced undergraduate or masters students with applied interests and by doctoral students who also want to learn the underlying theory. This is done by devoting the main body of the text of each chapter with basic statistical methodology illustrated by real data examples. Derivations, proofs and extensions are relegated to the Technical Notes section of each chapter, Exercises are also divided into theoretical and applied. Answers to selected exercises are provided. A solution manual is available to instructors who adopt the text.


Data sets of moderate to large sizes are used in examples and exercises. They come from a variety of disciplines including business (finance, marketing and sales), economics, education, engineering and sciences (biological, health, physical and social). All data sets are available at the book's web site. Open source software R is used for all data analyses. R codes and outputs are provided for most examples. R codes are also available at the book's web site.


Predictive Analytics: Parametric Models for Regression and Classification Using R is ideal for a one-semester upper-level undergraduate and/or beginning level graduate course in regression for students in business, economics, finance, marketing, engineering, and computer science. It is also an excellent resource for practitioners in these fields.
  • ISBN13 9781118948903
  • Publish Date 30 September 2020 (first published 27 August 2018)
  • Publish Status Active
  • Publish Country US
  • Imprint John Wiley & Sons Inc