Design and Analysis of Experiments / Edition 7

Design and Analysis of Experiments / Edition 7

by Douglas C. Montgomery
     
 

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

See more details below

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.

Read More

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

1 Introduction 1

2 Simple Comparative Experiments 23

3 Experiments with a Single Factor: The Analysis of Variance 60

4 Randomized Blocks, Latin Squares, and Related Designs 121

5 Introduction to Factorial Designs 162

6 The 2[superscript k] Factorial Design 207

7 Blocking and Confounding in the 2[superscript k] Factorial Design 273

8 Two-Level Fractional Factorial Designs 289

9 Three-Level and Mixed-Level Factorial and Fractional Factorial Designs 360

10 Fitting Regression Models 388

11 Response Surface Methods and Designs 417

12 Robust Parameter Design and Process Robustness Studies 486

13 Experiments with Random Factors 505

14 Nested and Split-Plot Designs 542

15 Other Design and Analysis Topics 577

Appendix 611

Bibliography 647

Index 653

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >