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.
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