LEADER 01750nam0 22004453i 450 001 VAN00292994 005 20250804031227.821 017 70$2N$a9781475741087 100 $a20250516d1994 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 181 $ai$b e 182 $ab 183 $acr 200 1 $aLogistic Regression$eA Self-Learning Text$fDavid G. Kleinbaum 210 $aNew York$cSpringer$d1994 215 $axiii, 282 p.$cill.$d24 cm 410 1$1001VAN00102850$12001 $aStatistics for biology and health$1210 $aBerlin [etc.]$cSpringer$d1997- 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62J12$xGeneralized linear models (logistic models) [MSC 2020]$3VANC025019$2MF 606 $a62Jxx$xLinear inference, regression [MSC 2020]$3VANC028385$2MF 610 $aClass$9KW:K 610 $aDesign$9KW:K 610 $aLikelihood$9KW:K 610 $aLogistic Regression$9KW:K 610 $aPresentation$9KW:K 610 $aStatistical inference$9KW:K 610 $aTools$9KW:K 620 $aUS$dNew York$3VANL000011 700 1$aKleinbaum$bDavid G.$3VANV248733$060604 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20250905$gRICA 856 4 $uhttps://doi.org/10.1007/978-1-4757-4108-7$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 $aVAN00292994 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-Book 11694 $e08eMF11694 20250630 996 $aLogistic regression$9375909 997 $aUNICAMPANIA