Design and Analysis of Experiment

7 edition. — Wiley Publisher, 2008. — 334 p. — ISBN-10: 0470128666, ISBN-13: 978-0470128664
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.Contents
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 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 Designs
Robust Parameter Design and Process Robustness Studies
Experiments with Random Factors
Nested and Split-Plot Designs
Other Design and Analysis Topics
Appendix
Bibliography
Index