Chapman and Hall/CRC
Unlike other books on the modeling and analysis of experimental data, Design and Analysis of Experiments: Classical and Regression Approaches with SAS not only covers classical experimental design theory, it also explores regression approaches. Capitalizing on the availability of cutting-edge software, the author uses both manual meth
Introductory Statistical Inference and Regression Analysis. Experiments, the Completely Randomized Design-Classical and Regression Approaches.Two-Factor Factorial Experiments and Repeated Measures Designs. Regression Approaches to the Analysis of Responses of Two-Factor Experiments and Repeated Measures Designs.Designs with Randomization Restriction-Randomized Complete Block, Latin Squares, and Related Designs.Regression Models for Randomized Complete Block, Latin Squares, and Graeco-Latin Square Designs. Factorial Designs-The 2k and 3k Factorial Designs.Regression Models for 2k and 3k Factorial Designs.Fractional Replication and Confounding in 2k and 3k Factorial Designs.Balanced Incomplete Blocks, Lattices, and Nested Designs.Methods for Fitting Response Surfaces and Analysis of Covariance. Multivariate Analysis of Variance. Appendix. Index.