LEADER 02288nam0 2200517 i 450 001 VAN00125105 005 20240806100818.88 017 70$2N$a9781493988471 100 $a20191030d2018 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 200 1 $aˆThe ‰Design and Analysis of Computer Experiments$fThomas J. Santner, Brian J. Williams, William I. Notz 205 $a2. ed 210 $aNew York$cSpringer$d2018 215 $axv, 436 p.$cill.$d24 cm 410 1$1001VAN00036509$12001 $aSpringer series in statistics$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN00236528$aˆThe ‰Design and Analysis of Computer Experiments$91563857 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62Kxx$xDesign of statistical experiments [MSC 2020]$3VANC023621$2MF 606 $a68U07$xComputer science aspects of computer-aided design [MSC 2020]$3VANC020359$2MF 610 $aBayesian Inference$9KW:K 610 $aBest linear unbiased predictors$9KW:K 610 $aCalibrationlog likelihood functions$9KW:K 610 $aComputer experiment$9KW:K 610 $aExperimental designs$9KW:K 610 $aGaussian Process models$9KW:K 610 $aHeuristic global approximation$9KW:K 610 $aLatin hypercube designs$9KW:K 610 $aSensitivity analysis$9KW:K 610 $aSimulator output$9KW:K 610 $aStochastic process models$9KW:K 610 $aVariable screening$9KW:K 620 $aUS$dNew York$3VANL000011 700 1$aSantner$bThomas J.$3VANV096564$0103055 701 1$aNotz$bWilliam I.$3VANV096566$0767956 701 1$aWilliams$bBrian J.$3VANV096565$0767955 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20241115$gRICA 856 4 $uhttp://doi.org/10.1007/978-1-4939-8847-1$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00125105 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 1401 $e08eMF1401 20191030 996 $aDesign and Analysis of Computer Experiments$91563857 997 $aUNICAMPANIA