Design and Analysis of Experiments / Edition 8

by Douglas C. Montgomery

Overview

Instructor's Manual available.

Product Details

ISBN-13:	2901118146926
Publisher:	Wiley
Publication date:	04/10/2012
Edition description:	Older Edition
Pages:	752
Product dimensions:	8.20(w) x 10.10(h) x 1.20(d)

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

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 Other Approaches to Process Optimization.
Experiments with Random Factors.
Nested and Split-Plot Designs.
Other Design and Analysis Topics.
Bibliography.
Appendices.
Index.

Editorial Reviews

An introductory textbook dealing with the design and analysis of experiments for engineering and science students who have completed a course in statistics. The fifth edition encourages incorporation of the computer during both design and analysis, and adds material on alphabetically optimal designs, experiments with mixtures, and the robust parameter design problem. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Booknews

"students will continue to find this book useful as a reference text long after the course they bought it for has finished." (Quality & Reliability Engineering International, , March/April 2002)

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