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SAS Books - B.D. McCullough Author Page

About B.D. McCullough

B.D. McCullough author photo
B. D. McCullough, PhD, is a professor at the LeBow College of Business at Drexel University in Philadelphia, PA. Before joining Drexel, he was a senior economist at the Federal Communications Commission and an assistant professor at Fordham University. His research interests include applied econometrics and time series analysis, statistical and econometrics software accuracy, research replicability, and data mining. He received his PhD from The University of Texas at Austin.
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Fundamentals of Predictive Analytics with JMP, Second Edition
Fundamentals of Predictive Analytics with JMP®, Second Edition
By Ron Klimberg and B.D. McCullough
Anticipated publication date: Fourth quarter 2016

Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions from data and models, this updated and expanded second edition of Fundamentals of Predictive Analytics with JMP® bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the theoretical foundation, this book gives you the technical knowledge and problem-solving skills that you need to perform real-world multivariate data analysis.

First, this book teaches you to recognize when it is appropriate to use a tool, what variables and data are required, and what the results might be. Second, it teaches you how to interpret the results and then, step-by-step, how and where to perform and evaluate the analysis in JMP®.

Using JMP® 13 and JMP® 13 Pro, this book offers the following new and enhanced features in an example-driven format:

  • an add-in for Microsoft Excel
  • Graph Builder
  • dirty data
  • visualization
  • regression
  • ANOVA
  • logistic regression
  • principal component analysis
  • LASSO
  • elastic net
  • cluster analysis
  • decision trees
  • k-nearest neighbors
  • neural networks
  • bootstrap forests
  • boosted trees
  • text mining
  • association rules
  • model comparison

With today's emphasis on business intelligence, business analytics, and predictive analytics, this second edition is invaluable to anyone who needs to expand his or her knowledge of statistics and to apply real-world, problem-solving analysis.

This book is part of the SAS Press program.

By This Author

Fundamentals of Predictive Analytics with JMP book cover

Fundamentals of Predictive Analytics with JMP

By Ron Klimberg and B.D. McCullough

Table of Contents (PDF) Excerpt (PDF) Example Code and Data Updates Reviews JMP Textbook Add-In Buy Now