Welcome to IOU Digital Library

This book is a comprehensive reference and practical guide for analyzing real-world data arising from designed experiments, particularly when data is “messy” (e.g. unbalanced, with missing observations, random effects, mixed models, split-plot or repeated measures designs). The second edition updates the original with modern multiple-comparison procedures, expanded treatment of split-plot and repeated measures designs, and examples using statistical software such as SAS-GLM and SAS-MIXED. It is aimed at statisticians, researchers, and practitioners dealing with complex experimental data.

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245: $a: Analysis of Messy Data Volume 1: Designed Experiments (Second Edition)
245: $b:
082: $a:
100: $a: George A. Milliken & Dallas E. Johnson
650: $a: Statistics
250: $a: 2nd
440: $v:
250: $b: Chapman & Hall/CRC
250: $c: 2009
020: $a: 9781584883340
300: $a: 674