LEADER 01767nam 22004093u 450 001 9910149680603321 005 20230725020357.0 010 $a9957-607-85-5 035 $a(CKB)3820000000021535 035 $a(EBL)3340731 035 $a(MiAaPQ)EBC3340731 035 $a(EXLCZ)993820000000021535 100 $a20160425d2011|||| u|| | 101 0 $aara 135 $aur|n|---||||| 200 10$a?????? ?????? ???? ???????? ????????? ?? ??? ??? ???????$b[electronic resource] 210 $a????? $c??? ?????? ????? ? ???????$d2011 215 $a1 online resource (220 p.) 300 $aDescription based upon print version of record. 311 $a9957-32-528-0 327 $a?????????; ????? ?????:????? ???????; ????? ??????:????????????? ????????; ????? ??????:???????? ??????? ????????; ????? ??????:?????? ????? ??????? 606 $aArabic poetry -- 622-750 -- History and criticism 606 $aIslamic Empire -- History -- Poetry 606 $aIslamic poetry, Arabic -- History and criticism 606 $aLITERARY CRITICISM -- ART CRITICISM -- ISLAMIC PERIOD 615 4$aArabic poetry -- 622-750 -- History and criticism. 615 4$aIslamic Empire -- History -- Poetry. 615 4$aIslamic poetry, Arabic -- History and criticism. 615 4$aLITERARY CRITICISM -- ART CRITICISM -- ISLAMIC PERIOD. 676 $a811.2 700 $a??????$b ??????? ? ???? ??? ??? 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910149680603321 997 $aUNINA LEADER 01926nam0 22004693i 450 001 VAN00297137 005 20251008111359.378 017 70$2N$a9781461240242 100 $a20250725d1996 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 181 $ai$b e 182 $ab 183 $acr 200 1 $aTools for Statistical Inference$eMethods for the Exploration of Posterior Distributions and Likelihood Functions$fMartin A. Tanner 205 $a3. ed 210 $aNew York$cSpringer$d1996 215 $aVIII, 207 p.$cill.$d24 cm 410 1$1001VAN00036509$12001 $aSpringer series in statistics$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN00242920$aTools for Statistical Inference$982447 606 $a62F15$xBayesian inference [MSC 2020]$3VANC024528$2MF 606 $a62Fxx$xParametric inference [MSC 2020]$3VANC031220$2MF 606 $a62Jxx$xLinear inference, regression [MSC 2020]$3VANC028385$2MF 610 $aAlgorithms$9KW:K 610 $aBayesian Inference$9KW:K 610 $aExpectation?maximization algorithms$9KW:K 610 $aGibbs Sampler$9KW:K 610 $aLikelihood$9KW:K 610 $aObserved data$9KW:K 610 $aResampling$9KW:K 620 $aUS$dNew York$3VANL000011 700 1$aTanner$bMartin A.$3VANV030580$0442002 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20251010$gRICA 856 4 $uhttps://doi.org/10.1007/978-1-4612-4024-2$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 $aVAN00297137 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-Book 12268 $e08eMF12268 20250924 996 $aTools for statistical inference$982447 997 $aUNICAMPANIA