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Informationen zum Autor Onyiah! Leonard C. Klappentext Recently! there has been a welcome attempt to emphasize the analysis of experimental data as a regression problem involving dummy variables. With the growth of statistical computing and the availability of cutting-edge software! the time has come for such new approaches. Focusing on novel regression methods that make use of dummy variables! Design and Analysis of Experiments presents classical experimental design and data analysis using the invaluable tool of SAS. The text provides numerous examples and hands-on exercises to illustrate both the theoretical foundations and the computational approaches for different experimental designs. It also includes full code and outputs for SAS analyses. Zusammenfassung Covers classical experimental design theory and explores regression approaches. Capitalizing on the availability of cutting-edge software, this book uses both manual methods and SAS programs to carry out analyses. It presents most of the different designs covered in a typical experimental design course. Inhaltsverzeichnis 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. ...
