MARC Record from marc_columbia

LEADER: 05640cam a2200565 i 4500
001 15130435
005 20220219230904.0
006 m o d
007 cr |n|||||||||
008 180213s2018 flua ob 001 0 eng d
035 $a(OCoLC)on1022786034
035 $a(NNC)15130435
040 $aYDX$beng$erda$epn$cYDX$dCRCPR$dIUL$dOCLCQ$dTFW$dEBLCP$dN$T$dCNCGM$dOCLCF$dNLE$dCUS$dYDX$dMERER$dOCLCQ$dOSU$dOCLCQ$dWYU$dOCLCQ$dVT2$dTKN$dESU$dUKAHL$dOCLCQ$dK6U$dOCLCO$dSFB$dOCLCQ
019 $a1022783671
020 $a9781351650441$q(electronic bk.)
020 $a9781315154404$q(electronic bk.)
020 $a1351650440$q(electronic bk.)
020 $a1315154404$q(electronic bk.)
020 $z9781498772532$q(hardback ;$qalk. paper)
020 $z1498772536$q(hardback ;$qalk. paper)
035 $a(OCoLC)1022786034$z(OCoLC)1022783671
050 4 $aQD75.4.C45$bC48448 2018eb
072 7 $aSCI$x013010$2bisacsh
082 04 $aWB042
049 $aZCUA
245 00 $aChemometrics in chromatography /$cedited by Łukasz Komsta, Yvan Vander Heyden, Joseph Sherma.
264 1 $aBoca Raton, FL :$bCRC Press,$c[2018]
264 4 $c©2018
300 $a1 online resource (xix, 505 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aChromatographic science series ;$v111
504 $aIncludes bibliographical references and index.
520 2 $a"Chemometrics uses advanced mathematical and statistical algorithms to provide maximum chemical information by analyzing chemical data, and obtain knowledge of chemical systems. Chemometrics significantly extends the possibilities of chromatography and with the technological advances of the personal computer and continuous development of open-source software, many laboratories are interested in incorporating chemometrics into their chromatographic methods. This book is an up-to-date reference that presents the most important information about each area of chemometrics used in chromatography, demonstrating its effective use when applied to a chromatographic separation."--Provided by publisher
588 0 $aPrint version record.
505 00 $tExperimental design in chromatographic method development and validation /$rŁukasz Komsta, Yvan Vander Heyden --$tChromatographic response functions /$rRegina M. B. O. Duarte, João T. V. Matos, Armando C. Duarte --$tChemometric strategies to characterize stationary phases /$rCharlene Galea, Debby Mangelings, Yvan Vander Heyden --$tChromatographic applications of genetic algorithms and other nature-inspired optimization methods /$rMohammad Goodarzi, Yvan Vander Heyden --$tStatistics and validation in quantitative chromatographic analysis /$rEliangiringa Kaale, Danstan Shewiyo, David Jenkins --$tStatistical evaluation of calibration curves in chromatography /$rSven Declerck, Johan Viaene, Ines Salsinha, Yvan Vander Heyden --$tIntroduction to multivariate data treatment /$rŁukasz Komsta, Yvan Vander Heyden --$tIntroduction to exploratory and clustering techniques /$rIvana Stanimirova, Michał Daszykowski --$tDenoising of signals, signal enhancement and baseline correction in chromatographic science /$rZhi-Min Zhang, Hong-Mei Lu, Yi-Zeng Liang --$tAlignment of one- and two-dimensional chromatographic signals /$rMichał Daszykowski --$tPeak purity and resolution of chromatographic data /$rSilvia Mas, Anna de Juan --$tModeling of peak shape and asymmetry /$rJose Ramon Torres, Juan Jose Baeza-Baeza, Maria Celia Garcia-Alvarez-Coque --$tMissing and censored data in chromatography /$rIvana Stanimirova --$tLinear supervised techniques /$rŁukasz Komsta, Yvan Vander Heyden --$tDiscriminant analysis, and classification of chromatographic data /$rAlessandra Biancolillo, Federico Marini --$tNonlinear supervised techniques /$rGeert Postma, Lionel Blanchet, Frederik-Jan van Schooten, Lutgarde Buydens --$tIntroduction to quantitative structure-retention relationships (QSRRs) /$rKrzesimir Ciura, Piotr Kawczak, Joanna Nowakowska, Tomasz Bączek --$tTopological Indices in modelling chromatographic retention /$rMałgorzata Dolłowy, Katarzyna Bober, Alina Pyka-Pająk --$tIntroduction to fingerprinting in chromatography /$rJohan Viaene and Yvan Vander Heyden --$tChemometric strategies in analysis of chromatographic-mass spectrometry data /$rSamantha Riccadonna, Pietro Franceschi --$tChemometric strategies in chromatographic analysis of pharmaceuticals /$rErdal Dinc --$tBayesian methods in chromatographic science /$rDavid Brynn Hibbert --$tMulti-way methods in chromatography /$rŁukasz Komsta, Yvan Vander Heyden --$tRecurrent relationships in separation science /$rIgor Zenkevich --$tImage processing in separation science /$rBahram Hemmateenejad, Elaheh Talebanpour Bayat, Elmira Rafatmah, Zahra Shojaeifard, Nabioallah Mobaraki, Saeed Yousefinejad.
650 0 $aChemometrics.
650 0 $aChromatographic analysis.
650 7 $aSCIENCE$xChemistry$xAnalytic.$2bisacsh
650 7 $aChemometrics.$2fast$0(OCoLC)fst01736550
650 7 $aChromatographic analysis.$2fast$0(OCoLC)fst00859925
655 4 $aElectronic books.
700 1 $aKomsta, Lukasz,$eeditor.
700 1 $aVander Heyden, Yvan,$eeditor.
700 1 $aSherma, Joseph,$eeditor.
776 08 $iPrint version:$tChemometrics in chromatography.$dBoca Raton : CRC Press, 2018$z9781498772532$z1498772536$w(DLC) 2017037096$w(OCoLC)1001905804
830 0 $aChromatographic science ;$vv. 111.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15130435$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS