| Record ID | marc_columbia/Columbia-extract-20221130-030.mrc:118088999:5007 |
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001 14751810
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007 cr |||||||||||
008 190308s2019 flua ob 001 0 eng
010 $a 2020693417
035 $a(OCoLC)on1089446088
035 $a(NNC)14751810
040 $aDLC$beng$erda$cDLC$dCOO$dTYFRS$dUKMGB$dUKAHL$dYDX$dOSU$dN$T$dOCLCO
015 $aGBB970005$2bnb
016 7 $a019291560$2Uk
019 $a1104394561$a1105123230$a1105955783$a1151715353
020 $a9781315155289$q(e-book)
020 $a1315155281
020 $a9781351651332$q(ebook)
020 $a1351651331
020 $z9781498781619$q(hardback ;$qacid-free paper)
020 $a9781351641821$q(electronic bk. : Mobipocket)
020 $a1351641824$q(electronic bk. : Mobipocket)
020 $a9781498781626$q(electronic bk. : PDF)
020 $a1498781624$q(electronic bk. : PDF)
020 $z1498781616$q(hardcover ;$qalk. paper)
024 7 $a10.1201/9781315155289$2doi
035 $a(OCoLC)1089446088$z(OCoLC)1104394561$z(OCoLC)1105123230$z(OCoLC)1105955783$z(OCoLC)1151715353
037 $a9781351651332$bIngram Content Group
050 00 $aQA360
072 7 $aMAT$x005000$2bisacsh
072 7 $aMAT$x034000$2bisacsh
072 7 $aMAT$x029000$2bisacsh
072 7 $aMAT$x036000$2bisacsh
072 7 $aPBT$2bicssc
082 00 $a515/.9$223
049 $aZCUA
100 1 $aLe Roux, Brigitte,$eauthor.
245 10 $aCombinatorial inference in geometric data analysis /$cBrigitte Le Roux, Solène Bienaise, Jean-Luc Durand.
264 1 $aBoca Raton :$bCRC Press, Taylor and Francis Group,$c[2019]
300 $a1 online resource.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aChapman & Hall/CRC computer science and data analysis series
504 $aIncludes bibliographical references and indexes.
588 $aDescription based on print version record.
505 0 $aIntroduction -- Cloud of points in a geometric space -- Combinatorial typicality tests -- Geometric typicality test -- Homogeneity permutation tests -- Research case studies -- Mathematical bases
520 $aGeometric Data Analysis designates the approach of Multivariate Statistics that conceptualizes the set of observations as a Euclidean cloud of points. Combinatorial Inference in Geometric Data Analysis gives an overview of multidimensional statistical inference methods applicable to clouds of points that make no assumption on the process of generating data or distributions, and that are not based on random modelling but on permutation procedures recasting in a combinatorial framework. It focuses particularly on the comparison of a group of observations to a reference population (combinatorial test) or to a reference value of a location parameter (geometric test), and on problems of homogeneity, that is the comparison of several groups for two basic designs. These methods involve the use of combinatorial procedures to build a reference set in which we place the data. The chosen test statistics lead to original extensions, such as the geometric interpretation of the observed level, and the construction of a compatibility region. Features: Defines precisely the object under study in the context of multidimensional procedures, that is clouds of points Presents combinatorial tests and related computations with R and Coheris SPAD software Includes four original case studies to illustrate application of the tests Includes necessary mathematical background to ensure it is self-contained This book is suitable for researchers and students of multivariate statistics, as well as applied researchers of various scientific disciplines. It could be used for a specialized course taught at either master or PhD level
650 0 $aGeometric analysis.
650 0 $aCombinatorial analysis.
650 0 $aStatistics.
650 6 $aAnalyse géométrique.
650 6 $aAnalyse combinatoire.
650 7 $aMATHEMATICS / Calculus$2bisacsh
650 7 $aMATHEMATICS / Mathematical Analysis$2bisacsh
650 7 $aMATHEMATICS / Probability & Statistics / General$2bisacsh
650 7 $aMATHEMATICS / Combinatorics$2bisacsh
650 7 $aCombinatorial analysis.$2fast$0(OCoLC)fst00868961
650 7 $aGeometric analysis.$2fast$0(OCoLC)fst01747051
650 7 $aStatistics.$2fast$0(OCoLC)fst01132103
655 0 $aElectronic books.
700 1 $aBienaise, Solène,$d1986-$eauthor.
700 1 $aDurand, Jean-Luc$c(Mathematician),$eauthor.
776 08 $iPrint version:$tCombinatorial inference in geometric data analysis$dBoca Raton : CRC Press, Taylor & Francis Group, [2019]$z9781498781619 (hardback : acid-free paper)$w(DLC) 2018052973
830 0 $aSeries in computer science and data analysis.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio14751810$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS