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

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

Analysis of Messy Data Volume 1: Designed Experiments, Second Edition
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Analysis of Messy Data Volume 1: Designed Experiments, Second Edition Paperback - 2004 - 2nd Edition

by Milliken, George A

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A bestseller for nearly 25 years, this resource helps applied statisticians and researchers analyze the kinds of data sets encountered in the real world. This second edition has been fully updated to reflect the many developments that have occurred since the original publication.

Used: Good

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CRC Press, 2004-07-26. 2. paperback. Used: Good. 7.09x1.42x10.00. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Analysis of Messy Data Volume 1: Designed Experiments, Second Edition
  • Author Milliken, George A
  • Binding Paperback
  • Edition number 2nd
  • Edition 2
  • Condition Used: Good
  • Pages 688
  • Volumes 1
  • Language ENG
  • Publisher CRC Press, Boca Raton
  • Publication date 2004-07-26
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # SONG1584883340
  • ISBN 9781584883340 / 1584883340
  • Weight 2.9 lbs (1.32 kg)
  • Dimensions 10 x 7.1 x 1.4 in (25.40 x 18.03 x 3.56 cm)
  • Size 7.09x1.42x10.00
  • Category Mathematics
  • Library of Congress subjects Analysis of variance, Experimental design
  • Library of Congress Catalogue Number 2008045111
  • Dewey Decimal Code 519.538
  • Quantity available 1

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From the publisher

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.

Media reviews

Citations

  • Library Journal Supplements, 11/15/2008, Page 68
  • Scitech Book News, 06/01/2009, Page 32

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