Description

A bestseller for nearly 25 years, this book helps applied statisticians and researchers effectively analyze the kinds of nonstandard data sets encountered in the real world. Written by two long-time researchers and professors, this second edition has been fully updated to reflect the many developments that have occurred since the original publication. This edition includes several modern suggestions for multiple comparison procedures as well as additional examples of split-plot designs and repeated measures designs. It also uses SAS-GLM to analyze unbalanced effects models and SAS-MIXED and JMP to analyze data in random effects, mixed model, and repeated measures experiments.

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