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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 Hardback - 2009 - 2nd Edition

by George A. Milliken

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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.

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Hardcover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; Features a number of developments in the field, including advances in random effects models and refinements to multiple comparison procedures. This work detail how SAS-Mixed, SAS-GLM, and other packages can be used to improve experiment
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Details

  • Title Analysis of Messy Data Volume 1: Designed Experiments, Second Edition
  • Author George A. Milliken
  • Binding Hardback
  • Edition number 2nd
  • Edition 2
  • Condition New
  • Pages 688
  • Volumes 1
  • Language ENG
  • Publisher CRC Press, Boca Raton
  • Publication date 2009-01-01
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # ria9781584883340_inp
  • 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)
  • Category Mathematics
  • Library of Congress subjects Analysis of variance, Experimental design
  • Library of Congress Catalogue Number 2008045111
  • Dewey Decimal Code 519.538
  • Quantity available 393

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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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