These popular titles are a great starting point for anyone interested in teaching or learning more about JMP Statistical Discovery software from SAS
|Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP|
By Heath Rushing, James Wisnowski, and Andrew Karl
In this first book of its kind using JMP software, Rushing, Karl and Wisnowski demonstrate how to design and analyze experiments for improving the
quality, efficiency, and performance of working systems using JMP. Users will not only learn the theory of design and analysis of experiments,
but how to implement it efficiently on their academic projects and industry problems.
|Discovering Partial Least Squares with JMP
By Ian Cox and Marie Gaudard
Dynamically interacting with JMP statistical discovery software from SAS, this book explores Partial Least Squares (a flexible statistical modeling technique that applies to data of any shapte) and positions it within the more general context of multivariate analysis. Develop confidence as you explore underlying concepts and work through the examples.
|Elementary Statistics Using JMP|
By Sandra Schlotzhauer
Learn how to perform basic statistical analyses using the powerful JMP software.
|Fundamentals of Predictive Analytics with JMP
By Ron Klimberg and B. D. McCullough
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.
|JMP Essentials: An Illustrated Step-by-Step Guide for New Users|
By Curt Hinrichs and Chuck Boiler
Shows how to generate meaningful graphs or results quickly. Format features show-and-tell design with essential steps on the left, illustrations on the right.
|JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition|
By Ann Lehman, Norm O'Rourke, Larry Hatcher, and Edward J. Stepanski
A user-friendly book that introduces researchers and students of the social sciences to JMP and to elementary statistical procedures, while the more advanced statistical procedures that are presented make it an invaluable reference guide for experienced researchers as well.
|JMP Means Business: Statistical Models for Management|
By Josef Schmee and Jane Oppenlander
Covers basic methods and models of classical statistics. Designed for business and MBA students, as well as industry professionals who need to use and interpret statistics.
|Jump into JMP Scripting|
By: Wendy Murphrey and Rosemary Lucas
Contains the essentials for getting started with the JMP Scripting Language (JSL). The first part of the book explains JSL topics in an easy-to-understand style based on the authors' extensive experience. Each topic includes step-by-step instructions and plenty of code examples. The second part of the book is a rich source of example scripts showing you how to perform specific tasks in JSL.
|JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fifth Edition|
By John Sall, Ann Lehman, Mia Stephens, and Lee Creighton
A mix of software manual and statistics text, this book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use JMP's intuitive interface for data analysis
|Practical Data Analysis with JMP, Second Edition
By Robert Carver
A complete and thorough introduction to business statistics using JMP. A stand-alone resource or can be a supplement to intro-to-statistics textbook.
|Statistical Analysis for Business Using JMP: A Student's Guide|
By Willbann Terpening
Introduces logic and methods of statistical thinking and data analysis. A stand-alone resource or can be a supplement to intro-to-statistics textbook.
|Teaching Elementary Statistics with JMP
By Chris Olsen
Intended for high school and introductory college-level statistics courses, this book demonstrates JMP and offers the latest research on best practices in teaching statistics using JMP.