Design and Analysis of Experiments"The eighth edition of Design and Analysis of Experiments continues to provide extensive and in-depth information on engineering, business, and statistics-as well as informative ways to help readers design and analyze experiments for improving the quality, efficiency and performance of working systems. Furthermore, the text maintains its comprehensive coverage by including: new examples, exercises, and problems (including in the areas of biochemistry and biotechnology); new topics and problems in the area of response surface; new topics in nested and split-plot design; and the residual maximum likelihood method is now emphasized throughout the book"-- |
Contents
Preface | 1 |
2 | 23 |
iii | 55 |
3 | 64 |
11 | 71 |
4 | 135 |
6 | 230 |
7 | 308 |
11 | 489 |
13 | 589 |
14 | 618 |
15 | 656 |
Appendix online at www wiley comcollegemontgomery | 697 |
135 | 700 |
Percentage Points of the Studentized Range Statistic | 707 |
| 724 | |
Other editions - View all
Common terms and phrases
2k design aliased analysis of variance ANOVA assume average Batch blocks called Chapter coefficients column complete components conclusions conducted confidence interval confounded Consider construct contrast defining degrees of freedom determine discussed distribution engineer Equation error estimate Example experiment experimenter factors Figure four Fractional Factorial Designs illustrate important indicates interest levels main effects material mean Mean Square method normal Note observations obtained operating output P-value parameters percent performed plot points possible prediction present Problem procedure random replicates residuals resolution response response surface runs sample selected shown in Table shows significant Source standard statistic sum of squares Suppose Table temperature treatment treatment combinations two-factor interactions usually variables yield 𝛼 𝜇