LEADER 01586nam0 2200337 i 450 
001 SUN0071996
005 20180928102327.698
010   $a978-15-8488-388-3$d0.00
100   $a20091020d2004       |0engc50      ba
101   $aeng
102   $aUS
105   $a||||    |||||
200 1 $aBayesian data analysis$fAndrew Gelman ... [et al.]
205   $a2. ed
210   $aBoca Raton$cChapman & Hall$dc2004
215   $aXXV, 611 p.$cill.$d24 cm.
410  1$1001SUN0036476$12001 $aTexts in statistical science$1210  $aLondon$cChapman & Hall.
606   $a62-XX$xStatistics [MSC 2020]$2MF$3SUNC022998
606   $a62F15$xBayesian inference [MSC 2020]$2MF$3SUNC024528
606   $a65C40$xNumerical analysis or methods applied to Markov chains [MSC 2020]$2MF$3SUNC025242
620   $aUS$dBoca Raton$3SUNL000070
676   $a519.542$cMatematica. Teoria delle decisioni$v22
702  1$aGelman$b, Andrew$3SUNV056870
712   $aChapman & Hall$3SUNV000138$4650
801   $aIT$bSOL$c20201026$gRICA
856 4 $uhttps://books.google.it/books?id=TNYhnkXQSjAC&printsec=frontcover&hl=it
912   $aSUN0071996
950   $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHE$d17CONS      Ni27                                $e17BIB670               20091020            $sBuono
950   $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08PREST     62-XX                   1564        $e08VS 4947      I       20111107            $sBuono
996   $aBayesian data analysis$9829273
997   $aUNICAMPANIA