| Description |
xxiv, 473 pages : illustrations ; 24 cm |
| Series |
Quality and reliability ; 43 |
|
Quality and reliability ; 43
|
| Contents |
About the Series / Edward G. Schilling -- Foreword / John T. Burr -- Pt. I. The Philosophy of Experimentation. 1. Why Design Experiments? 2. Organizing the Experiment. 3. The Neglected Response Variable -- Pt. II. Statistical Experimental Design. 4. The Factorial 2-Level Design. 5. Fractional Factorials at 2 Levels. 6. Multi-Level Designs. 7. 3-Level Designs. 8. Blocking in Factorial Designs. 9. Randomized Block and Latin Square. 10. Nested Designs. 11. Evolutionary Operation -- Pt. III. Sorting the Signal from the Noise. 12. Simple Analysis. 13. Analysis of Means by Using the Variance. 14. YATES Algorithm. 15. Matrix Algebra. 16. Least Squares Analysis. 17. Putting ANOVA and Least Squares to Work. 18. ANOVA for Blocked and Nested Designs -- Pt. IV. The Derivation of Empirical Equations from Statistically Designed Experiments. 19. A Case History of an Experimental Investigation -- Pt. V. Utilization of Empirical Equations. 20. Monte Carlo Simulation |
|
21. Case History Completed: The Utilization of the Equation |
| Summary |
Elucidating a structure for experimentation that reduces excess expenditure of resources, Quality by Experimental Design, Second Edition emphasizes the basic philosophy behind experimental design and the organizational aspects necessary to carry out both large- and small-scale endeavors ... offers helpful summaries of key concepts, edifying end-of-chapter problems, and complete step-by-step examples for all methods and techniques covered ... integrates the robust design methodology introduced by Taguchi as a natural part of the design effort ... establishes a criterion for measurement variables as well as subjective responses ... presents the mathematical aspects of statistical experimental design in an intuitive rather than a theoretical manner ... and more |
|
Combining proven statistical procedures with practical insights into planning experiments, this thoroughly updated Second Edition takes the design of experiments beyond the mathematical model and into the area of product design optimization - introducing experimentation systems that assure maximum quality of information from the earliest prototype stages of design to the finished product |
| Notes |
Includes index |
| Bibliography |
Includes bibliographical references |
| Subject |
Experimental design.
|
|
Quality control -- Statistical methods.
|
| LC no. |
94018956 |
| ISBN |
0824789105 (acid-free paper) |
|
