LEADER 02086nam0 2200505 i 450 001 VAN00125185 005 20250311112227.516 017 70$2N$a9781493976935 100 $a20191031d2018 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 200 1 $aLectures on Categorical Data Analysis$fTamás Rudas 210 $aNew York$cSpringer$d2018 215 $axi, 285 p.$cill.$d24 cm 410 1$1001VAN00036791$12001 $aSpringer texts in statistics$1210 $aBerlin [etc.]$cSpringer$d1985- 500 1$3VAN00236339$aLectures on Categorical Data Analysis$91563919 606 $a60Exx$xDistribution theory [MSC 2020]$3VANC024526$2MF 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62F10$xPoint estimation [MSC 2020]$3VANC021207$2MF 606 $a62Hxx$xMultivariate analysis [MSC 2020]$3VANC026440$2MF 610 $aAssociation and Causation$9KW:K 610 $aBiostatistics$9KW:K 610 $aCategorical data analysis$9KW:K 610 $aCausal Analysis$9KW:K 610 $aData analysis$9KW:K 610 $aExponential Families$9KW:K 610 $aGraphical Models$9KW:K 610 $aLatent class analysis$9KW:K 610 $aLog-linear models$9KW:K 610 $aMarkov properties$9KW:K 610 $aSimpson's paradox$9KW:K 610 $aSocial Statistics$9KW:K 610 $aSurvey Analysis$9KW:K 620 $aUS$dNew York$3VANL000011 700 1$aRudas$bTamás$3VANV096651$0374537 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20250314$gRICA 856 4 $uhttp://doi.org/10.1007/978-1-4939-7693-5$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 $aVAN00125185 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 1216 $e08eMF1216 20191031 996 $aLectures on Categorical Data Analysis$91563919 997 $aUNICAMPANIA