LEADER 02269nam0 2200493 i 450 001 VAN00102501 005 20240806100720.431 010 $a978-08-17-64810-7 017 70$2N$a978-0-8176-4811-4 100 $a20150908d2014 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 200 1 $aContingency table analysis$emethods and implementation using R$fMaria Kateri 210 $aNew York$cBirkhäuser ; Springer$d2014 215 $aXVII, 304 p.$d24 cm 410 1$1001VAN00102500$12001 $aStatistics for industry and technology$1210 $aBoston [etc]$cBirkhäuser 500 1$3VAN00239427$aContingency table analysis$91410558 606 $a62F03$xParametric hypothesis testing [MSC 2020]$3VANC024582$2MF 606 $a62F10$xPoint estimation [MSC 2020]$3VANC021207$2MF 606 $a62H12$xEstimation in multivariate analysis [MSC 2020]$3VANC021210$2MF 606 $a62H15$xHypothesis testing in multivariate analysis [MSC 2020]$3VANC030964$2MF 606 $a62H17$xContingency tables [MSC 2020]$3VANC030963$2MF 606 $a62H25$xFactor analysis and principal components; correspondence analysis [MSC 2020]$3VANC025575$2MF 606 $a62J12$xGeneralized linear models (logistic models) [MSC 2020]$3VANC025019$2MF 610 $aBayesian Inference$9KW:K 610 $aCategorical classification variable$9KW:K 610 $aCategorical datac$9KW:K 610 $aCommensurable classification variables$9KW:K 610 $aContingency tables$9KW:K 610 $aExact inference$9KW:K 610 $aS-PLUS$9KW:K 620 $aUS$dNew York$3VANL000011 700 1$aKateri$bMaria$3VANV080053$0721771 712 $aBirkhäuser $3VANV108193$4650 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240906$gRICA 856 4 $uhttp://dx.doi.org/10.1007/978-0-8176-4811-4$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$2VAN15 912 $fN 912 $aVAN00102501 950 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS SBA EBOOK 4318 $e15EB 4318 20191106 996 $aContingency table analysis$91410558 997 $aUNICAMPANIA