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LEADER: 05118cam 22007934a 4500
001 ocm52423971
003 OCoLC
005 20200510193840.0
008 030604s2004 njua b 001 0 eng
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050 00 $aQA279$b.G52 2004
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084 $aLAN 047f$2stub
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100 1 $aGiesbrecht, Francis G.,$d1935-
245 10 $aPlanning, construction, and statistical analysis of comparative experiments /$cFrancis G. Giesbrecht, Marcia L. Gumpertz.
260 $aHoboken, N.J. :$bWiley-Interscience,$c℗♭2004.
300 $axiv, 693 pages :$billustrations ;$c25 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
490 1 $aWiley series in probability and statistics
504 $aIncludes bibliographical references (pages 661-675) and index.
505 0 $aIntroduction -- The Completely Randomized Design -- Linear Models for Designed Experiments -- Testing Hypotheses and Determining Sample Size -- Methods of Reducing Unexplained Variation -- Latin Squares -- Split-Plot and Related Designs -- Incomplete Block Designs -- Repeated Teatments Designs -- Factorial Experiments, the 2n System -- Factorial Experiments, the 3n System -- Analysis of Experiments Without Designed Error Terms -- Confounding Effects with Blocks -- Fractional Factorial Experiments -- Response Surface Designs -- Plackett-Burmann Hadamard Plans -- The General Pn and Nonstandard Factorials -- Factorial Experiments with Quantitative Factors -- Plans for Which Run Order is Important -- Supersaturated Plans -- Sequences of Fractions of Factorials -- Multi-Stage Experiments -- Orthogonal Arrays and Related Structures -- Factorial Plans Derived via Orthogonal Arrays -- Experiments on the Computer.
520 $aIn this text for graduate students of intermediate statistics, Giesbrecht and Gumpertz, both affiliated with the statistics department at North Carolina State University, offer guidance on designing controlled comparative experiments and analyzing data, focusing on applications in the physical, engineering, biological, and social sciences. Coverage progresses from completely randomized design through sequences of fractions for factorials and computer experiments. Readers should be familiar with simple sampling, multiple regression, simple algebra, and matrix manipulation. The book can also be used as a reference for active researchers and statisticians who serve as consultants in the design of experiments. Annotation c2004 Book News, Inc., Portland, OR (booknews.com).
650 0 $aExperimental design.
650 6 $aPlan d'expe rience.
650 7 $aExperimental design.$2fast$0(OCoLC)fst00918404
650 17 $aExperimenteel ontwerp.$2gtt
650 7 $aExperimentauswertung$2gnd
650 7 $aStatistik$2gnd
650 7 $aVersuchsplanung$2gnd
650 07 $aExperimentauswertung.$2swd
650 07 $aStatistik.$2swd
650 07 $aVersuchsplanung.$2swd
700 1 $aGumpertz, Marcia L.,$d1952-
830 0 $aWiley series in probability and statistics.
856 41 $3Table of contents$uhttp://catdir.loc.gov/catdir/toc/wiley032/2003053838.html
856 41 $3Table of contents$uhttp://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=013141776&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
856 41 $zWiley Online Library$uhttps://doi.org/10.1002/0471476471$xeLoaderURL$xwl4$xwlocm85820309$zAvailable to Stanford-affiliated users at:
856 42 $3Contributor biographical information$uhttp://catdir.loc.gov/catdir/bios/wiley046/2003053838.html
856 42 $3Publisher description$uhttp://catdir.loc.gov/catdir/description/wiley039/2003053838.html
856 42 $3The Louis A. Duhring Fund Home Page$uhttp://hdl.library.upenn.edu/1017.12/366308
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