Design and analysis of experiments
Author(s)
Bibliographic Information
Design and analysis of experiments
John Wiley, c2001
5th ed.
Available at / 9 libraries
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
Learn How to Achieve Optimal Industrial Experimentation Through four editions, Douglas Montgomery has provided statisticians, engineers, scientists, and managers with the most effective approach for learning how to design, conduct, and analyze experiments that optimize performance in products and processes. Now, in this fully revised and enhanced Fifth Edition, Montgomery has improved his best-selling text by focusing even more sharply on factorial and fractional factorial design and presenting new analysis techniques (including the generalized linear model). There is also expanded coverage of experiments with random factors, response surface methods, experiments with mixtures, and methods for process robustness studies. The book also illustrates two of today's most powerful software tools for experimental design: Design-Expert and Minitab. Throughout the text, You'll find output from these two programs, along with detailed discussion on how computers are currently used in the analysis and design of experiments.
You'll also learn how to use statistically designed experiments to: Obtain information for characterization and optimization of systems Improve manufacturing processes Design and develop new processes and products Evaluate material alternatives in product design Improve the field performance, reliability, and manufacturing aspects of products Learn how to conduct experiments effectively and efficiently Other important textbook features: Student version of Design-Expert software is available. Web site (www wiley.com/college/montgomery) offers supplemental text material for each chapter, a sample syllabus, and sample student projects from the author's Design of Experiments course at Arizona State University.
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 2 k Factorial Design.Blocking and Confounding in the 2 k 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.
by "Nielsen BookData"