| Record ID | marc_columbia/Columbia-extract-20221130-031.mrc:481837250:3012 |
| Source | marc_columbia |
| Download Link | /show-records/marc_columbia/Columbia-extract-20221130-031.mrc:481837250:3012?format=raw |
LEADER: 03012cam a2200613Mi 4500
001 15499503
005 20220521232848.0
006 m o d
007 cr |||||||||||
008 181207s2018 flua fo 000 0 eng d
035 $a(OCoLC)on1240719690
035 $a(NNC)15499503
040 $aUKAHL$beng$erda$epn$cUKAHL$dUKMGB$dOCLCO$dOCLCF$dTYFRS$dOCLCO
015 $aGBB8N6027$2bnb
016 7 $a019174694$2Uk
020 $a1315302268
020 $a9781315302256$q(ePub ebook)
020 $a131530225X
020 $a9781315302249$q(Mobipocket ebook)
020 $a1315302241
020 $a9781315302270$q(ebook)
020 $a1315302276
020 $a9781315302263$q(electronic bk. : PDF)
020 $z9781138196308 (hbk.)
024 7 $a10.1201/b21873$2doi
035 $a(OCoLC)1240719690
037 $a9781315302256$bIngram Content Group
037 $a9781315302270$bTaylor & Francis
050 4 $aTA404.3
072 7 $aSCI$x013010$2bisacsh
072 7 $aTGM$2bicssc
082 04 $a620.11015195$223
049 $aZCUA
245 00 $aStatistical and multivariate analysis in material science$cedited by Giorgio Luciano.
264 1 $aBoca Raton :$bCRC Press,$c2018.
300 $a1 online resource$billustrations (colour)
336 $atext$2rdacontent
336 $astill image$2rdacontent
337 $acomputer$2rdamedia
338 $aonline resource$2rdacarrier
520 $aThe present work is an introductory text in statistics, addressed to researchers and students in the field of material science. It aims to give the readers basic knowledge on how statistical reasoning is exploitable in this field, improving their knowledge of statistical tools and helping them to carry out statistical analyses and to interpret the results. It also focuses on establishing a consistent multivariate workflow starting from a correct design of experiment followed by a multivariate analysis process.
545 0 $aGiorgio Luciano is a researcher at the National Research Council of Italy at the "Giulio Natta" Institute of Chemical Sciences and Technologies (Scitec-Cnr). He started to be interested in multivariate statistics techniques applied to data from physic-chemical analysis methods 15 years ago during his Ph.D. and to apply to material science ever since. Enthusiast about programming in R and Python in order to write tools for everyday laboratory activities.
650 0 $aMaterials science$xStatistical methods.
650 0 $aMultivariate analysis.
650 2 $aMultivariate Analysis
650 6 $aScience des matériaux$xMéthodes statistiques.
650 6 $aAnalyse multivariée.
650 7 $aSCIENCE / Chemistry / Analytic$2bisacsh
650 7 $aMultivariate analysis.$2fast$0(OCoLC)fst01029105
655 4 $aElectronic books.
700 1 $aLuciano, Giorgio,$eeditor.
776 08 $iPrint version:$z9781138196308
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15499503$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS