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portada Analysis of Messy Data Volume 1: Designed Experiments, Second Edition
Analysis of Messy Data Volume 1: Designed Experiments, Second EditionAnalysis of Messy Data Volume 1: Designed Experiments, Second EditionAnalysis of Messy Data Volume 1: Designed Experiments, Second EditionAnalysis of Messy Data Volume 1: Designed Experiments, Second Edition
Type
Physical Book
Publisher
Language
English
Pages
688
Format
Hardcover
Dimensions
25.4 x 18.0 x 3.6 cm
Weight
1.32 kg.
ISBN
1584883340
ISBN13
9781584883340
Edition No.
0002

Analysis of Messy Data Volume 1: Designed Experiments, Second Edition

George a. Milliken (Author) · Dallas E. Johnson (Author) · CRC Press · Hardcover

Analysis of Messy Data Volume 1: Designed Experiments, Second Edition - Milliken, George A. ; Johnson, Dallas E.

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Synopsis "Analysis of Messy Data Volume 1: Designed Experiments, Second Edition"

A bestseller for nearly 25 years, Analysis of Messy Data, Volume 1: Designed Experiments helps applied statisticians and researchers analyze the kinds of 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.New to the Second Edition Several modern suggestions for multiple comparison procedures Additional examples of split-plot designs and repeated measures designs The use of SAS-GLM to analyze an effects model The use of SAS-MIXED to analyze data in random effects experiments, mixed model experiments, and repeated measures experiments The book explores various techniques for multiple comparison procedures, random effects models, mixed models, split-plot experiments, and repeated measures designs. The authors implement the techniques using several statistical software packages and emphasize the distinction between design structure and the structure of treatments. They introduce each topic with examples, follow up with a theoretical discussion, and conclude with a case study. Bringing a classic work up to date, this edition will continue to show readers how to effectively analyze real-world, nonstandard data sets.

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