Book description
With a growing number of scientists and engineers using JMP software for design of experiments, there is a need for an exampledriven 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, twosample ttest, ANOVA, regression, design of experiments, blocking, factorial designs, fractionalfactorial designs, central composite designs, BoxBehnken designs, splitplot 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, Montgomeryâ€™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.Table of contents
 About This Book
 About The Authors
 Acknowledgments
 Chapter 1 Introduction
 Chapter 2 Simple Comparative Experiments
 Chapter 3 Experiments with a Single Factor: The Analysis of Variance
 Chapter 4 Randomized Blocks, Latin Squares, and Related Designs

Chapter 5 Introduction to Factorial Designs
 Example 5.1 The Battery Design Experiment
 Example 5.2 A TwoFactor Experiment with a Single Replicate
 Example 5.3 The Soft Drink Bottling Problem
 Example 5.4 The Battery Design Experiment with a Covariate
 Example 5.5 A 32 Factorial Experiment with Two Replicates
 Example 5.6 A Factorial Design with Blocking
 Chapter 6 The 2k Factorial Design
 Chapter 7 Blocking and Confounding in the 2k Factorial Design

Chapter 8 TwoLevel Fractional Factorial Designs
 Example 8.1 A HalfFraction of the 24 Design
 Example 8.2 A 251 Design Used for Process Improvement
 Example 8.3 A 241 Design with the Alternate Fraction
 Example 8.4 A 262 Design
 Example 8.5 A 273 Design
 Example 8.6 A 283 Design in Four Blocks
 Example 8.7 A FoldOver 274 Resolution III Design
 Example 8.8 The PlackettBurman Design
 Section 8.7.2 Sequential Experimentation with Resolution IV Designs
 Chapter 9 ThreeLevel and MixedLevel Factorial and Fractional Factorial Designs

Chapter 10 Fitting Regression Models
 Example 10.1 Multiple Linear Regression Model
 Example 10.2 Regression Analysis of a 23 Factorial Design
 Example 10.3 A 23 Factorial Design with a Missing Observation
 Example 10.4 Inaccurate Levels in Design Factors
 Example 10.6 Tests on Individual Regression Coefficients
 Example 10.7 Confidence Intervals on Individual Regression Coefficients
 Chapter 11 Response Surface Methods and Designs
 Chapter 12 Robust Parameter Design and Process Robustness Studies
 Chapter 13 Experiments with Random Factors
 Chapter 14 Nested and SplitPlot Designs

Chapter 15 Other Design and Analysis Topics
 Example 15.1 BoxCox Transformation
 Example 15.2 The Generalized Linear Model and Logistic Regression
 Example 15.3 Poisson Regression
 Example 15.4 The Worsted Yarn Experiment
 Section 15.2 Unbalanced Data in a Factorial Design
 Example 15.5 Analysis of Covariance
 Section 15.3.4 Factorial Experiments with Covariates
 Index
Product information
 Title: Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP
 Author(s):
 Release date: November 2014
 Publisher(s): SAS Institute
 ISBN: 9781612908014
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