Fundamentals of Predictive Analytics with JMP, Second Edition
Klimberg PhD, Ron; McCullough PhD, B. D.
Language: English
Published by SAS Institute, 2016
- Softcover
- Used
Seller: CampusBear, Coppell, TX, U.S.A.CampusBear
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- Title
- Fundamentals of Predictive Analytics with JMP, Second Edition
- Author
- Klimberg PhD, Ron; McCullough PhD, B. D.
- Publisher
- SAS Institute
- Publication year
- 2016
- Condition
- Very Good
- Binding
- paperback
- Language
- English
- ISBN 10
- 1629598569
- ISBN 13
- 9781629598567
- Edition
- 2nd Edition
- Item weight
- 24 ounces
- Dimensions
- 7x0x9
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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