LEADER 02457nam 2200601 450 001 9910141510803321 005 20200824175253.0 010 $a1-118-55555-4 010 $a1-118-55548-1 010 $a1-299-19031-6 010 $a1-118-55528-7 035 $a(EBL)1120265 035 $a(OCoLC)827207941 035 $a(SSID)ssj0000831876 035 $a(PQKBManifestationID)11966392 035 $a(PQKBTitleCode)TC0000831876 035 $a(PQKBWorkID)10880392 035 $a(PQKB)10492938 035 $a(MiAaPQ)EBC4036290 035 $a(MiAaPQ)EBC1120265 035 $a(PPN)170610861 035 $a(EXLCZ)992670000000325748 100 $a20120427h20132013 uy 0 101 0 $aeng 135 $aurcn#---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aComputational statistics /$fGeof H. Givens and Jennifer A. Hoeting 205 $aSecond edition. 210 1$aHoboken, New Jersey :$cWiley,$d[2013] 210 4$dİ2013 215 $a1 online resource 225 1 $aWiley Series in Computational Statistics 300 $aDescription based upon print version of record. 311 $a0-470-53331-5 320 $aIncludes bibliographical references and index. 327 $aPart I. Optimization -- Part II. Integration and simulation -- Part III. Bootstrapping -- Part IV. Density estimation and smoothing. 330 $aThis new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The book is comprised of four main parts spanning the field: OptimizationIntegration and SimulationBootstrappingDensity Estimation and Smoothing Within these sections,each chapter includes a comprehensive introduction and step-by-step implementation summaries to accompany the explanations of key methods. The new edition includes updated coverage and existing topics as well as new topics such as adaptive MCMC and bootstrapp 410 0$aWiley series in computational statistics. 606 $aMathematical statistics$xData processing 615 0$aMathematical statistics$xData processing. 676 $a519.50285 700 $aGivens$b Geof H.$0298415 702 $aHoeting$b Jennifer A$g(Jennifer Ann),$f1966- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 801 2$bCaOWtU 906 $aBOOK 912 $a9910141510803321 996 $aComputational statistics$92186566 997 $aUNINA