MARC Record from marc_columbia

LEADER: 02966cam a2200481Mi 4500
001 15126083
005 20210607143451.0
006 m o d
007 cr cn|||||||||
008 170919s2017 enk o 000 0 eng d
035 $a(OCoLC)on1004358204
035 $a(NNC)15126083
040 $aCRCPR$beng$erda$epn$cCRCPR$dOCLCQ$dYDX$dUIU$dTYFRS$dOCLCF
019 $a1035407421
020 $a9781351435260$q(e-book ;$qPDF)
020 $a1351435264
020 $a9780203748923
020 $a0203748921
020 $z0824776615
020 $z9780824776619
035 $a(OCoLC)1004358204$z(OCoLC)1035407421
050 4 $aQA275
082 04 $a511.42$223
049 $aZCUA
100 1 $aFarebrother, R. W.,$d1946-$eauthor.
245 10 $aLinear least squares computations /$cR.W. Farebrother.
250 $aFirst edition.
264 1 $aLondon :$bTaylor and Francis,$c2017.
300 $a1 online resource :$btext file, PDF
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aStatistics, textbooks and monographs ;$vv. 91
520 2 $a"Presenting numerous algorithms in a simple algebraic form so that the reader can easilytranslate them into any computer language, this volume gives details of several methodsfor obtaining accurate least squares estimates. It explains how these estimates may beupdated as new information becomes available and how to test linear hypotheses. Linear Least Squares Computations features many structured exercises that guidethe reader through the available algorithms, plus a glossary of commonly used terms anda bibliography of supplementary reading ... collects "ancient" and modem results onlinear least squares computations in a convenient single source ... develops the necessarymatrix algebra in the context of multivariate statistics . .. only makes peripheral use ofconcepts such as eigenvalues and partial differentiation .. . interprets canonical formsemployed in computation ... discusses many variants of the Gauss, Laplace-Schmidt, Givens, and Householder algorithms ... and uses an empirical approach for the appraisalof algorithms. Linear Least Squares Computations serves as an outstanding reference forindustrial and applied mathematicians, statisticians, and econometricians, as well as atext for advanced undergraduate and graduate statistics, mathematics, and econometricscourses in computer programming, linear regression analysis, and applied statistics."--Provided by publisher.
650 0 $aLeast squares.
650 0 $aComputational Numerical Analysis.
650 04 $aComputational Numerical Analysis.
650 7 $aLeast squares.$2fast$0(OCoLC)fst00995082
655 4 $aElectronic books.
776 08 $z9780203748923
830 0 $aStatistics, textbooks and monographs ;$vv. 91.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15126083$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS