LEADER 01549nam0 2200349 i 450 
001 SUN0113836
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010   $d0.00
017 70$2N$a978-3-319-23805-0
100   $a20180122d2015       |0engc50      ba
101   $aeng
102   $aCH
105   $a||||    |||||
200 1 $a*Modeling binary correlated responses using SAS, SPSS and R$fJeffrey R. Wilson, Kent A. Lorenz
205   $a[Cham] : Springer, 2015
210   $aXXIII$d264 p. ; 24 cm
215   $aPubblicazione in formato elettronico
410  1$1001SUN0113306$12001 $a*ICSA book series in statistics$v9$1210  $aBerlin$cSpringer$d2015-.
606   $a62-XX$xStatistics [MSC 2020]$2MF$3SUNC022998
606   $a62R07$xStatistical aspects of big data and data science [MSC 2020]$2MF$3SUNC026514
606   $a62Jxx$xLinear inference, regression [MSC 2020]$2MF$3SUNC028385
606   $a68T09$xComputational aspects of data analysis and big data [MSC 2020]$2MF$3SUNC035916
620   $aCH$dCham$3SUNL001889
700  1$aWilson$b, Jeffrey R.$3SUNV087683$0755664
701  1$aLorenz$b, Kent A.$3SUNV087925$0755665
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20210503$gRICA
856 4 $uhttp://dx.doi.org/10.1007/978-3-319-23805-0
912   $aSUN0113836
950   $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS      e-book                  0327        $e08eMF327               20180122            
996   $aModeling binary correlated responses using SAS, SPSS and R$91522802
997   $aUNICAMPANIA