| Record ID | marc_columbia/Columbia-extract-20221130-031.mrc:278242798:3615 |
| Source | marc_columbia |
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LEADER: 03615cam a2200685 i 4500
001 15139375
005 20220627134007.0
006 m o d
007 cr |||||||||||
008 190603s2019 flu ob 001 0 eng
010 $a 2020694049
035 $a(OCoLC)on1202483550
035 $a(NNC)15139375
040 $aDLC$beng$erda$cDLC$dOCLCF$dSFB$dOCLCO$dN$T$dTYFRS$dYDX$dUKAHL$dOSU$dOCLCO
019 $a1103320134$a1120527219
020 $a9781351975124$q(ePub)
020 $a1351975129
020 $a1351975137
020 $a9781351975131
020 $a1315268124
020 $a9781315268125
020 $a9781351975117$q(electronic bk. : Mobipocket)
020 $a1351975110$q(electronic bk. : Mobipocket)
020 $z9781138035362$q(hardcover ;$qalk. paper)
020 $z113803536X$q(hardcover ;$qalk. paper)
035 $a(OCoLC)1202483550$z(OCoLC)1103320134$z(OCoLC)1120527219
050 00 $aQA276
072 7 $aMAT$x003000$2bisacsh
072 7 $aMAT$x029000$2bisacsh
082 00 $a519.5$223
049 $aZCUA
100 1 $aJurečková, Jana,$d1940-$eauthor.
245 10 $aRobust statistical methods with R /$cJana Jurecková, Jan Picek, Martin Schindler.
250 $aSecond edition.
264 1 $aBoca Raton, Florida :$bCRC Press, Taylor & Francis Group, CRC Press is an imprint of Taylor & Francis Group, an Informa business,$c[2019]
300 $a1 online resource
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
504 $aIncludes bibliographical references and index.
588 $aDescription based on print version record.
505 0 $aIntroduction -- Mathematical tools of robustness -- Characteristics of robustness -- Estimation of real parameter -- Linear model -- Multivariate model -- Large sample and finite sample behavior of robust estimators -- Robust and nonparametric procedures in measurement error models -- Appendix A.
520 $aThe second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on the computational aspects. There are many numerical examples and notes on the R environment, and the updated chapter on the multivariate model contains additional material on visualization of multivariate data in R. A new chapter on robust procedures in measurement error models concentrates mainly on the rank procedures, less sensitive to errors than other procedures. This book will be an invaluable resource for researchers and postgraduate students in statistics and mathematics
650 0 $aRobust statistics.
650 0 $aMathematical statistics.
650 0 $aR (Computer program language)
650 6 $aStatistiques robustes.
650 6 $aR (Langage de programmation)
650 7 $aMATHEMATICS / Applied.$2bisacsh
650 7 $aMATHEMATICS / Probability & Statistics / General.$2bisacsh
650 7 $aMathematical statistics.$2fast$0(OCoLC)fst01012127
650 7 $aR (Computer program language)$2fast$0(OCoLC)fst01086207
650 7 $aRobust statistics.$2fast$0(OCoLC)fst01099111
655 0 $aElectronic books.
655 4 $aElectronic books.
700 1 $aPicek, Jan,$d1965-$eauthor.
700 1 $aSchindler, Martin$c(Mathematician),$eauthor.
776 08 $iPrint version:$tRobust statistical methods with R$dBoca Raton, Florida : CRC Press, [2019]$z9781138035362 (hardback : alk. paper)$w(DLC) 2019006741
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15139375$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS