LEADER 01173nam0-22004211i-450- 001 990007133780403321 005 20150623124852.0 010 $a88-15-04589-9 035 $a000713378 035 $aFED01000713378 035 $a(Aleph)000713378FED01 035 $a000713378 100 $a20110923d1994----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $a--------001yy 200 1 $a<>governo di partito in Italia$e(1943- 1993)$fSalvatore Vassallo 210 $aBologna$cil Mulino$d1994 215 $a324 p.$d22 cm 225 1 $a<>Mulino Ricerca 610 0 $aPartiti politici$aItalia$aRapporti con lo stato 676 $a324.204$v21$zita 676 $a306.26 700 1$aVassallo,$bSalvatore$f<1965- >$0144053 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007133780403321 951 $aVIII G 3a$b389$fDDCIC 952 $aDP XI - 93$b13814$fDEC 952 $aDP XI-93$b13814$fDEC 952 $aVIII G 3b$b589$fDDCIC 952 $a324.204 VAS1$b6051$fBFS 959 $aDEC 959 $aDEC 959 $aDDCIC 959 $aBFS 996 $aGoverno di partito in Italia$9703478 997 $aUNINA LEADER 01975nam0 22004693i 450 001 VAN0277950 005 20240717032411.840 017 70$2N$a9783031014406 100 $a20240613d2022 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aMixture and Hidden Markov Models with R$fIngmar Visser, Maarten Speekenbrink 210 $aCham$cSpringer$d2022 215 $axvi, 267 p.$cill.$d24 cm 410 1$1001VAN0102661$12001 $aUse R!$1210 $aBerlin [etc.]$cSpringer$d2006- 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62M05$xMarkov processes: estimation; hidden Markov models [MSC 2020]$3VANC024698$2MF 606 $a62Rxx$xStatistics on algebraic and topological structures [MSC 2020]$3VANC037171$2MF 610 $aHidden Markov models$9KW:K 610 $aLatent class models$9KW:K 610 $aMaximum likelihood estimation$9KW:K 610 $aMixture models$9KW:K 610 $aMultivariate$9KW:K 610 $aMultivariate time series$9KW:K 610 $aR Programming$9KW:K 610 $aStatistical Theory$9KW:K 610 $aTime series$9KW:K 610 $aUnivariate$9KW:K 610 $aUnivariate time series$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aVisser$bIngmar$3VANV230486$01250061 701 1$aSpeekenbrink$bMaarten$3VANV230487$01739994 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240719$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-031-01440-6$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 $aVAN0277950 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-Book 8821 $e08eMF8821 20240618 996 $aMixture and Hidden Markov Models with R$94164719 997 $aUNICAMPANIA