Building Better Models with JMP Pro - Jim Grayson

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Building Better Models with JMP Pro

By: Jim Grayson, Sam Gardner, Mia Stephens

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Hardcover | 20 July 2018

At a Glance

Hardcover
352 Pages

Dimensions(cm)
23.5 x 19.05 x 2.06

Hardcover

$94.75

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Building Better Models with JMP Pro provides an example-based introduction to business analytics, with a proven process that guides you in the application of modeling tools and concepts. It gives you the "what, why, and how" of using JMP Pro for building and applying analytic models. This book is designed for business analysts, managers, and practitioners who may not have a solid statistical background, but need to be able to readily apply analytic methods to solve business problems.

In addition, this book will greatly benefit faculty members who teach any of the following subjects at the lower to upper graduate level: predictive modeling, data mining, and business analytics. Novice to advanced users in business statistics, business analytics, and predictive modeling will find that it provides a peek inside the black box of algorithms and the methods used.

Topics include: regression, logistic regression, classification and regression trees, neural networks, model cross-validation, model comparison and selection, and data reduction techniques. Full of rich examples, Building Better Models with JMP Pro is an applied book on business analytics and modeling that introduces a simple methodology for managing and executing analytics projects. No prior experience with JMP is needed.

Make more informed decisions from your data using this newest JMP book.

Industry Reviews

"Building Better Models with JMP Pro will undoubtedly be the reference book for all those who, from student to professional, need to understand what they do when they practice business analytics with JMP." -- Yves Gueniffey, Professor of Statistics and Data Analysis "Ecole des Mines de Nancy, France"
"The book strikes an appealing balance between showing the reader how to use JMP Pro to obtain results and providing the reader with a background understanding of the techniques being used. It is an excellent supplement for an introductory course on analytics." -- Marie Gaudard, Professor of Statistics Emerita "University of New Hampshire"
This book offers a great introduction to statistical analysis and predictive modeling. It provides a clear and practical approach for students and professionals alike who are interested in learning how to perform data analysis for business application using JMP, an intuitive, easy-to-use software platform. I highly recommend it!" -- Matthew J. Liberatore, PhD "Villanova School of Business, Villanova University"

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