Description: Building Better Models with JMP Pro by Jim Grayson, Sam Gardner, Mia Stephens 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. FORMAT Hardcover LANGUAGE English CONDITION Brand New Author Biography Jim Grayson, PhD, is a Professor of Management Science and Operations Management in the Hull College of Business Administration at Georgia Regents University. He currently teaches undergraduate and MBA courses in operations management and business analytics. Previously, Jim held managerial positions at Texas Instruments in quality and reliability assurance, supplier and subcontractor management, and software quality. He has a PhD in management science with an information systems minor from the University of North Texas, an MBA in marketing from the University of North Texas, and a BS from the United States Military Academy at West Point. Review "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""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" Details ISBN1635269113 Author Mia Stephens Pages 352 Publisher SAS Institute Year 2018 ISBN-10 1635269113 ISBN-13 9781635269116 Format Hardcover Publication Date 2018-07-20 Imprint SAS Institute Illustrations Illustrations, black and white Language English UK Release Date 2018-07-20 Alternative 9781629590561 Audience General We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:159572037;
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ISBN-13: 9781635269116
Book Title: Building Better Models with JMP Pro
Publisher: Sas Institute
Publication Year: 2018
Subject: Computer Science, Mathematics
Item Height: 235 mm
Number of Pages: 352 Pages
Language: English
Publication Name: Building Better Models with Jmp Pro
Item Weight: 816 g
Type: Textbook
Author: Jim Grayson, Sam Gardner, Mia Stephens
Item Width: 191 mm
Format: Hardcover