MARC Record from marc_columbia

LEADER: 03772cam a2200577Ii 4500
001 15117115
005 20220528232959.0
006 m o d
007 cr mn|||||||||
008 170126t20172017flua ob 001 0 eng d
035 $a(OCoLC)ocn970041540
035 $a(NNC)15117115
040 $aN$T$beng$erda$epn$cN$T$dCRCPR$dITD$dYDX$dUIU$dUAB$dOTZ$dOSU$dOCLCQ$dUPM$dRRP$dTYFRS$dOCLCQ$dK6U$dOCLCO
019 $a970389536$a970606444$a970613822
020 $a9781498731782$q(electronic bk.)
020 $a1498731783$q(electronic bk.)
020 $z9781498731775$q(hardcover ;$qalk. paper)
020 $z1498731775$q(hardcover ;$qalk. paper)
020 $z9781315352954
020 $z1315352958
035 $a(OCoLC)970041540$z(OCoLC)970389536$z(OCoLC)970606444$z(OCoLC)970613822
050 4 $aQA278.5$b.G74 2017
072 7 $aMAT$x003000$2bisacsh
072 7 $aMAT$x029000$2bisacsh
082 04 $a519.5/37$223
049 $aZCUA
100 1 $aGreenacre, Michael J.,$eauthor.
245 10 $aCorrespondence analysis in practice /$cMichael Greenacre.
250 $aThird edition.
264 1 $aBoca Raton, FL :$bCRC Press, Taylor & Francis Group,$c[2017]
264 4 $c©2017
300 $a1 online resource (xvi, 310 pages).
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aChapman & Hall/CRC interdisciplinary statistics series
520 $aDrawing on the author's 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its variants, subset CA, multiple CA and joint CA, translate two-way and multi-way tables into more readable graphical forms -- ideal for applications in the social, environmental and health sciences, as well as marketing, economics, linguistics, archaeology, and more.
504 $aIncludes bibliographical references and index.
505 0 $aScatterplots and maps -- Profiles and the profile space -- Masses and centroids -- Chi-square distance and inertia -- Plotting chi-square distances -- Reduction of dimensionality -- Optimal scaling -- Symmetry of row and column analyses -- Two-dimensional displays -- Three more examples -- Contributions to inertia -- Supplementary points -- Correspondence analysis biplots -- Transition and regression relationships -- Clustering rows and columns -- Multiway tables -- Stacked tables -- Multiple correspondence analysis -- Joint correspondence analysis -- Scaling properties of MCA -- Subset correspondence analysis -- Compositional data analysis -- Analysis of matched matrices -- Analysis of square tables -- Correspondence analysis of networks -- Data recoding -- Canonical correspondence analysis -- Co-inertia and co-correspondence analysis -- Aspects of stability and inference -- Permutation tests.
588 0 $aPrint version record.
650 0 $aCorrespondence analysis (Statistics)
650 6 $aAnalyse des correspondances (Statistique)
650 7 $aMATHEMATICS$xApplied.$2bisacsh
650 7 $aMATHEMATICS$xProbability & Statistics$xGeneral.$2bisacsh
650 7 $aCorrespondence analysis (Statistics)$2fast$0(OCoLC)fst00880319
655 0 $aElectronic books.
655 4 $aElectronic books.
776 08 $iPrint version:$aGreenacre, Michael J.$tCorrespondence analysis in practice.$bThird edition.$dBoca Raton, FL : CRC Press, Taylor & Francis Group, [2017]$z9781498731775$w(DLC) 2016036265$w(OCoLC)957056759
830 0 $aInterdisciplinary statistics.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15117115$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS