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Book Cover
E-book
Author Rushing, Heath, author

Title Design and analysis of experiments by douglas montgomery : a supplement for using JMP / Heath Rushing, Andrew Karl, and James Wisnowski
Published Cary, N.C. : SAS Institute, 2013
©2013

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Description 1 online resource (xvi, 284 pages) : illustrations
Contents Introduction -- Simple comparative experiments -- Experiments with a single factor: the analysis of variance -- Randomized blocks, latin squares, and related designs -- Introduction to factorial designs -- The 2k factorial design -- Blocking and confounding in the 2k factorial design -- Two-level fractional factorial designs -- Three-level and mixed-level factorial and fractional factorial designs -- Fitting regression models -- Response surface methods and designs -- Robust parameter design and process robustness studies -- Experiments with random factors -- Nested and split-plot designs -- Other design and analysis topics
Summary Annotation 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
Notes Includes index
Print version record
SUBJECT JMP (Computer file) http://id.loc.gov/authorities/names/n97119732
JMP (Computer file) fast
Subject Experimental design.
Analysis of variance.
Statistics -- Graphic methods.
Research Design
Analysis of Variance
MATHEMATICS -- Applied.
MATHEMATICS -- Probability & Statistics -- General.
Analysis of variance
Experimental design
Statistics -- Graphic methods
Form Electronic book
Author Karl, Andrew, author
Montgomery, Douglas, author
Wisnowski, James, author
SAS Institute.
ISBN 9781612908014
1612908012
1612907253
9781612907253