Ebook Fundamentals of Predictive Analytics with JMPBy Ron Klimberg, B. D. McCullough
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Fundamentals of Predictive Analytics with JMPBy Ron Klimberg, B. D. McCullough
Ebook Fundamentals of Predictive Analytics with JMPBy Ron Klimberg, B. D. McCullough
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With the new emphasis on business intelligence, business analytics, and predictive analytics, Fundamentals of Predictive Analytics with JMP is invaluable to everyone who needs to expand their knowledge of statistics and apply real problem-solving analysis.
- Sales Rank: #629943 in eBooks
- Published on: 2013-04-04
- Released on: 2013-06-13
- Format: Kindle eBook
Review
Fundamentals of Predictive Analytics with JMP covers all of the JMP features that have provided me aha moments as I've discovered them throughout the years. If I had this text years ago, I could have saved myself the trouble of having to discover them all myself! The text s use of screenshots truly demonstrates that a picture is worth 1,000 words. Its extensive use of the Graph Builder (one of my favorite JMP features) is worth the read alone. This book takes you from the what you learned in basic statistics courses to the how to extract useful knowledge out of your data. --Don Lifke, Master Black Belt, Data Visualization and Discovery
--Don Lifke, Master Black Belt, Data Visualization and Discovery
"Klimberg and McCullough's guide to predictive modeling has claimed a slot on my reference shelf. Fundamentals of Predictive Analytics with JMP achieves the double of being a starter's manual to the statistical platforms of JMP as well as a compact summary of methods and practical tips. This volume is unbelievably readable, and their ancillary comments are the best bits." --Kaiser Fung, Author of "Numbersense: How to Use Big Data to Your Advantage"
"Klimberg and McCullough's guide to predictive modeling has claimed a slot on my reference shelf. Fundamentals of Predictive Analytics with JMP achieves the double of being a starter's manual to the statistical platforms of JMP as well as a compact summary of methods and practical tips. This volume is unbelievably readable, and their ancillary comments are the best bits." --Kaiser Fung, Author of "Numbersense: How to Use Big Data to Your Advantage"
About the Author
Ron Klimberg is professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA. Before joining the faculty in 1997, he was professor at Boston University, an operations research analyst for the Food and Drug Administration, and a consultant. His primary research interests lie in the areas of multiple criteria decision making, DEA, facility location, data visualization and data mining. Ron was the 2007 recipient of the Tengelmann Award for his excellence in scholarship, teaching, and research. He received his PhD from The Johns Hopkins University.
B.D. McCullough is professor at the LeBow College of Business at Drexel University in Philadelphia, PA. Prior to joining Drexel, he was a senior economist at the Federal Communications Commission and an assistant professor at Fordham University. His research fields include applied econometrics and time series, accuracy of statistical and econometrics software, replicability of research, and data mining. He received his PhD from the University of Texas at Austin.
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