The University’s licenses for JMP are set to expire on May 31, 2024. After this date, you will be unable to use the software. Please make every effort to complete any work you have that requires JMP software prior to that date. If you have any questions or concerns, please contact software@kent.edu. If you would like assistance converting your JMP data files to another format or transferring your work to another statistical software program, please contact statconsulting@kent.edu.
JMP is a software program for Windows and Mac computers that performs statistical analysis, modeling, and data visualization.
The following techniques are available only in JMP Pro (source). If you need any of the below techniques, you will need to use JMP Pro.
The University’s licenses for JMP and JMP Pro expired on May 31, 2024. As of this date, JMP and JMP Pro are not available for use.
If you have any questions or concerns about licensing, please contact software@kent.edu. If you would like assistance converting your JMP data files to another format, or transferring your work from JMP to another statistical software program, please contact statconsulting@kent.edu.
Design and Analysis of Experiments by Douglas Montgomery: a Supplement for Using JMP
by
With a growing number of scientists and engineers using JMP software for design of experiments, there is a need for an example-driven book that supports the most widely used textbook on the subject, Design and Analysis of Experiments by Douglas C. Montgomery. Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP meets this need and demonstrates all of the examples from the Montgomery text using JMP. In addition to scientists and engineers, undergraduate and graduate students will benefit greatly from this book. While users need to learn the theory, they also need to learn how to implement this theory efficiently on their academic projects and industry problems. 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. Topics include JMP software, two-sample t-test, ANOVA, regression, design of experiments, blocking, factorial designs, fractional-factorial designs, central composite designs, Box-Behnken designs, split-plot designs, optimal designs, mixture designs, and 2 k factorial designs. JMP platforms used include Custom Design, Screening Design, Response Surface Design, Mixture Design, Distribution, Fit Y by X, Matched Pairs, Fit Model, and Profiler. With JMP software, Montgomery's textbook, and Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP, users will be able to fit the design to the problem, instead of fitting the problem to the design. This book is part of the SAS Press program.
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