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Record ID harvard_bibliographic_metadata/ab.bib.11.20150123.full.mrc:844592658:1861
Source harvard_bibliographic_metadata
Download Link /show-records/harvard_bibliographic_metadata/ab.bib.11.20150123.full.mrc:844592658:1861?format=raw

LEADER: 01861cam a2200325 a 4500
001 011955147-0
005 20090602093535.0
008 081020m20099999flua b 001 0 eng
010 $a 2008045111
020 $a9781584883340 (v. 1)
020 $a1584883340 (v. 1)
035 0 $aocn263065413
040 $aDLC$cDLC$dYDXCP$dC#P$dBWX$dDLC
050 00 $aQA279$b.M48 2009
082 00 $a519.5/38$222
100 1 $aMilliken, George A.,$d1943-
245 10 $aAnalysis of messy data /$cGeorge A. Milliken, Dallas E. Johnson.
250 $a2nd ed.
260 $aBoca Raton :$bCRC Press,$cc2009-
300 $av. <1- > :$bill. ;$c27 cm.
500 $a"A Chapman & Hall book."
504 $aIncludes bibliographical references and index.
505 1 $av. 1. Designed experiments.
520 $aThis book 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. 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.
650 0 $aAnalysis of variance.
650 0 $aExperimental design.
650 0 $aSampling (Statistics)
700 1 $aJohnson, Dallas E.,$d1938-
988 $a20090428
906 $0DLC