Applied Statistics
Analysis of Variance and Regression
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This new edition of this standard has been extensively revised to serve the ever-increasing number of investigators who, with only a year or so of statistical training, are performing sophisticated statistical analyses on computers. It provides sound statistical methodology, practical advice on the application of this methodology, and information relating the statistics to computer manipulation and output.
This work has been thoughtfully designed so that it serves equally well as a reference for the practitioner and as a self-contained textbook for the advanced student.
_ Rewritten to maintain clarity and brevity while expanding the coverage of previous editions.
_ Changes to design-related topics include increased discussion of mixed models and random effects, greater emphasis on regression and data screening, and more use of graphs throughout.
_ Includes both graded and challenging exercises.
_ Liberal computer discussions now supplemented with SAS and SPSS.
_ Rewritten to maintain clarity and brevity while expanding the coverage of previous editions.
_ Changes to design-related topics include increased discussion of mixed models and random effects, greater emphasis on regression and data screening, and more use of graphs throughout.
_ Includes both graded and challenging exercises.
_ Liberal computer discussions now supplemented with SAS and SPSS.