Back to skip links

Purchase eTextbooks at the new VitalSource web site. Product options and pricing may differ. Shop Now

Additional product details

ISBN-13 9780133412994ISBN-10 0133412997
ISBN-10 0133412938ISBN-13 9780133412932
Author(s): Thomas W. Miller
Publisher: Pearson FT Press
Copyright year: © 2014 Pages: 348

Today, successful firms win by understanding their data more deeply than competitors do. In short, they compete based on analytics. Now, in Modeling Techniques in Predictive Analytics, the leader of Northwestern University’s prestigious analytics program brings together all the concepts, techniques, and R code you need to excel in analytics. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike.

Miller addresses multiple business challenges and business cases, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, Web and text analytics, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and even spatio-temporal data. For each problem, Miller explains: 

  • Why the problem is significant

  • What data is relevant

  • How to explore your data

  • How to model your data – first conceptually, with words and figures; and then with mathematics and programs

  • Miller walks through model construction, explanatory variable subset selection, and validation, demonstrating best practices for improving out-of-sample predictive performance. He employs data visualization and statistical graphics in exploring data, presenting models, and evaluating performance. Extensive example code is presented in R, today’s #1 system for applied statistics, statistical research, and predictive modeling; all code is set apart from other text so it’s easy to find for those who want it (and easy to skip for those who don’t).