LEADER 03673nam 22007815 450 001 9910437861403321 005 20220329230301.0 010 $a3-642-36300-8 024 7 $a10.1007/978-3-642-36300-9 035 $a(CKB)2550000001045952 035 $a(EBL)1206121 035 $a(SSID)ssj0000880316 035 $a(PQKBManifestationID)11475292 035 $a(PQKBTitleCode)TC0000880316 035 $a(PQKBWorkID)10873729 035 $a(PQKB)11270689 035 $a(DE-He213)978-3-642-36300-9 035 $a(MiAaPQ)EBC1206121 035 $a(PPN)169139255 035 $a(EXLCZ)992550000001045952 100 $a20130404d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aL1-Norm and L?-Norm estimation$b[electronic resource] $ean introduction to the least absolute residuals, the minimax absolute residual and related fitting procedures /$fby Richard Farebrother 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (58 p.) 225 1 $aSpringerBriefs in Statistics,$x2191-544X 300 $aDescription based upon print version of record. 311 $a3-642-36299-0 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Point Fitting Problems in One- and Two-dimensions -- The Hyperplane Fitting Problem in Two or More Dimensions -- Linear Programming Computations -- Statistical Theory -- The Least Median of Squared Residuals Procedure -- Mechanical Representations -- References -- Index of Names.  . 330 $aThis monograph is concerned with the fitting of linear relationships in the context of the linear statistical model. As alternatives to the familiar least squared residuals procedure, it investigates the relationships between the least absolute residuals, the minimax absolute residual and the least median of squared residuals procedures. It is intended for graduate students and research workers in statistics with some command of matrix analysis and linear programming techniques. 410 0$aSpringerBriefs in Statistics,$x2191-544X 606 $aStatistics  606 $aMatrix theory 606 $aAlgebra 606 $aGeometry 606 $aMathematics 606 $aHistory 606 $aMechanics 606 $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001 606 $aLinear and Multilinear Algebras, Matrix Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/M11094 606 $aGeometry$3https://scigraph.springernature.com/ontologies/product-market-codes/M21006 606 $aHistory of Mathematical Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M23009 606 $aClassical Mechanics$3https://scigraph.springernature.com/ontologies/product-market-codes/P21018 615 0$aStatistics . 615 0$aMatrix theory. 615 0$aAlgebra. 615 0$aGeometry. 615 0$aMathematics. 615 0$aHistory. 615 0$aMechanics. 615 14$aStatistical Theory and Methods. 615 24$aLinear and Multilinear Algebras, Matrix Theory. 615 24$aGeometry. 615 24$aHistory of Mathematical Sciences. 615 24$aClassical Mechanics. 676 $a519.5 676 $a519.5/44 700 $aFarebrother$b Richard$4aut$4http://id.loc.gov/vocabulary/relators/aut$01058824 906 $aBOOK 912 $a9910437861403321 996 $aL1-Norm and L?-Norm Estimation$92502673 997 $aUNINA