Design And Analysis Of Experiments

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This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems. About The Author Douglas C. Montgomery, Regents' Professor of Industrial Engineering and Statistics at Arizona State University, received his B.S., M.S., and Ph.D. degrees from Virginia Polytechnic Institute, all in engineering. From 1969 to 1984, he was a faculty member of the School of Industrial & Systems Engineering at the Georgia Institute of Technology; from 1984 to 1988, he was at the University of Washington, where he held the John M. Fluke Distinguished chair of Manufacturing Engineering, was Professor of Mechanical Engineering, and Director of the Program in industrial Engineering. He has authored and coauthored many technical papers as well as twelve other books. Dr. Montgomery is a Stewart Medalist of the American Society for Quality, and has also received the Brumbaugh Award, the William G. Hunter Award, and the Shewell Award(twice) from the ASQ. Table of Contents Preface. 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. Bibliography. Appendix. Table I. Cumulative Standard Normal Distribution. Table II. Percentage Points of the t Distribution. Table III. Percentage Points of the x2 Distribution. Table IV. Percentage Points of the F Distribution. Table V. Operating Characteristic Curves for the Fixed Effects Model Analysis of Variance. Table VI. Operating Characteristic Curves for the Random Effects Model Analysis of Variance. Table VII. Percentage Points of the Studentized Range Statistic. Table VIII. Critical Values for Dunnett's Test for Comparing Treatments with a Control. Table IX. Coefficients of Orthogonal Polynomials. Table X. Alias Relationships for 2k_p Fractional Factorial Designs with k 15 and n. Index.