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Design and Analysis of Experiments / Edition 7
     

Design and Analysis of Experiments / Edition 7

by Douglas C. Montgomery
 

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ISBN-10: 0470128666

ISBN-13: 9780470128664

Pub. Date: 07/28/2008

Publisher: Wiley

Master the experimental techniques that achieve optimal performance.

Across a wide range of fields—from industrial engineering to business and statistics—Douglas Montgomery’s Design and Analysis of Experiments has been a foundational work for students and professionals needing to design, conduct, and analyze experiments for

Overview

Master the experimental techniques that achieve optimal performance.

Across a wide range of fields—from industrial engineering to business and statistics—Douglas Montgomery’s Design and Analysis of Experiments has been a foundational work for students and professionals needing to design, conduct, and analyze experiments for optimizing performance in products and processes.

Like its bestselling predecessors, the Seventh Edition shows you 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

Placing a strong focus on the use of the computer, the new edition makes much more use of optimal designs and includes even more software examples than before, taken from the three most dominant programs in the field: Minitab, Design-Expert V7, and JMP. You’ll also find additional material discussing the latest developments in robust design and factorial designs along with fresh examples and exercises that illustrate the use of designed experiments in service and transactional organizations.

Product Details

ISBN-13:
9780470128664
Publisher:
Wiley
Publication date:
07/28/2008
Edition description:
New
Pages:
680
Product dimensions:
8.10(w) x 10.00(h) x 1.10(d)

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.

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