LEADER 02188nam0 2200433 i 450 
001 SUN0114408
005 20201009094331.548
010   $d0.00
017 70$2N$a978-3-319-28316-6
100   $a20180202d2016       |0engc50      ba
101   $aeng
102   $aCH
105   $a||||    |||||
200 1 $aAn *introduction to statistics with Python$ewith applications in the life sciences$fThomas Haslwanter
205   $a[Cham] : Springer, 2016
210   $aXVII$d278 p.$cill. ; 24 cm
215   $aPubblicazione in formato elettronico
410  1$1001SUN0036526$12001 $aStatistics and computing$1210  $aNew York$cSpringer.
606   $a92-XX$xBiology and other natural sciences [MSC 2020]$2MF$3SUNC020839
606   $a62-XX$xStatistics [MSC 2020]$2MF$3SUNC022998
606   $a62F15$xBayesian inference [MSC 2020]$2MF$3SUNC024528
606   $a62F03$xParametric hypothesis testing [MSC 2020]$2MF$3SUNC024582
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   $a62H15$xHypothesis testing in multivariate analysis [MSC 2020]$2MF$3SUNC030964
606   $a62F40$xBootstrap, jackknife and other resampling methods [MSC 2020]$2MF$3SUNC031098
606   $a62N02$xEstimation in survival analysis and censored data [MSC 2020]$2MF$3SUNC033692
606   $a62N03$xTesting in survival analysis and censored data [MSC 2020]$2MF$3SUNC033860
606   $a68T09$xComputational aspects of data analysis and big data [MSC 2020]$2MF$3SUNC035916
620   $aCH$dCham$3SUNL001889
700  1$aHaslwanter$b, Thomas$3SUNV088504$0755822
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20201026$gRICA
856 4 $uhttp://dx.doi.org/10.1007/978-3-319-28316-6
912   $aSUN0114408
950   $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS      SBA EBOOK 2103                      $e15EB 2103              20180202            
996   $aIntroduction to statistics with Python$91523137
997   $aUNICAMPANIA