Design and Analysis of Experiments, Volume 2An introductory text examining the fundamental methods of designing experiments and analyzing the results geared to advanced undergraduates or graduates majoring in engineering, science, business, economics, and statistics. Emphasizes proper design, model diagnostic checking, and interpretation of results. Covers all major design techniques, including completely randomized design, clocking, factorials, nesting, confounding, fractional factorials, regression modelling, response surfaces, and covariance analysis. Includes a full set of statistical tables. |
Contents
Simple Comparative Experiments | 9 |
More About the OneWay Model | 85 |
Randomized Blocks Latin Squares and Related Designs | 123 |
Copyright | |
15 other sections not shown
Common terms and phrases
23 design ABCD aliases analysis of variance Analyze the data average B₁ B₂ balanced incomplete block cell coefficients column computed confidence interval contrast data in Example degrees of freedom effects model estimate Example 3-1 expected mean squares factorial experiment fractional factorial design Freedom Mean Square incomplete block design ith treatment Latin square least squares linear main effects material type Mean Square Fo method normal equations null hypothesis number of degrees observations obtained orthogonal parameters percent confidence interval polynomial Problem procedure quadratic random effects model random variables regression model sample shown in Figure shown in Table significant Source of Variation specimens Squares Degrees SSAB sum of squares Suppose temperature test statistic three-factor treatment combinations treatment effects treatment means two-factor interactions variance components x₁ Y₁ Yijk Σ Σ σ² ΣΣ