LEADER 01835nam0 2200385 i 450 001 SUN0113597 005 20201009094038.266 010 $d0.00 017 70$2N$a978-3-319-18536-1 100 $a20180115d2015 |0engc50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $a*Innovative statistical methods for public health data$fDing-Geng (Din) Chen, Jeffrey Wilson editors 205 $a[Cham] : Springer, 2015 210 $aXIV$d351 p.$cill. ; 24 cm 215 $aPubblicazione in formato elettronico 410 1$1001SUN0113306$12001 $a*ICSA book series in statistics$1210 $aBerlin$cSpringer$d2015-. 606 $a92-XX$xBiology and other natural sciences [MSC 2020]$2MF$3SUNC020839 606 $a62F15$xBayesian inference [MSC 2020]$2MF$3SUNC024528 606 $a62P10$xApplications of statistics to biology and medical sciences; meta analysis [MSC 2020]$2MF$3SUNC024649 606 $a92B15$xGeneral Biostatistics [MSC 2020]$2MF$3SUNC026442 606 $a62R07$xStatistical aspects of big data and data science [MSC 2020]$2MF$3SUNC026514 606 $a92C50$xMedical applications (general) [MSC 2020]$2MF$3SUNC027825 606 $a68T09$xComputational aspects of data analysis and big data [MSC 2020]$2MF$3SUNC035916 620 $aCH$dCham$3SUNL001889 702 1$aChen$b, Ding-Geng (Din)$3SUNV087682 702 1$aWilson$b, Jeffrey R.$3SUNV087683 712 $aSpringer$3SUNV000178$4650 801 $aIT$bSOL$c20210503$gRICA 856 4 $uhttp://dx.doi.org/10.1007/978-3-319-18536-1 912 $aSUN0113597 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 0251 $e08eMF251 20180115 996 $aInnovative statistical methods for public health data$91522664 997 $aUNICAMPANIA