LEADER 01689nam0 2200337 i 450 001 VAN0085505 005 20221213035124.450 010 $a978-03-87758-17-6 100 $a20111010d2009 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 200 1 $aFixed point theory for lipschitzian-type mappings with applications$fRavi P. Agarwal, Donal O'Regan and D. R. Sahu 210 $aNew York$cSpringer$d2009 215 $aX, 368 p.$d24 cm 410 1$1001VAN0046106$12001 $aTopological fixed point theory and its applications$1210 $aDordrecht$cKluwer$v6 606 $a47-XX$xOperator theory [MSC 2020]$3VANC019759$2MF 606 $a47H10$xFixed-point theorems [MSC 2020]$3VANC020267$2MF 620 $aUS$dNew York$3VANL000011 700 1$aAgarwal$bRavi P.$3VANV035707$041786 701 1$aO'Regan$bDonal$3VANV035710$0621718 701 1$aSahu$bD. R.$3VANV070189$0472324 712 $aSpringer $3VANV108073$4650 790 1$aAgarwal, R. P.$zAgarwal, Ravi P.$3VANV065472 801 $aIT$bSOL$c20240614$gRICA 856 4 $u/sebina/repository/catalogazione/documenti/Agarwal, O'Regan, Sahu - Fixed point theory for lipschitzian-type mapping with applications.pdf$zAgarwal, O'Regan, Sahu - Fixed point theory for lipschitzian-type mapping with applications.pdf 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $aVAN0085505 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08PREST 47-XX 0063 $e08 9109 I 20111010 996 $aFixed point theory for lipschitzian-type mappings with applications$91417903 997 $aUNICAMPANIA LEADER 02180nam0 2200481 i 450 001 VAN00113615 005 20240806100749.334 017 70$2N$a9783319189680 100 $a20180115d2015 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aBayesian nonparametric data analysis$fPeter Müller ... [et al.] 210 $a[Cham]$cSpringer$d2015 215 $aXIV, 193 p.$d24 cm 410 1$1001VAN00036509$12001 $aSpringer series in statistics$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN00234916$aBayesian nonparametric data analysis$91522677 606 $a60G57$xRandom measures [MSC 2020]$3VANC028999$2MF 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62C10$xBayesian problems; characterization of Bayes procedures [MSC 2020]$3VANC028328$2MF 606 $a62F15$xBayesian inference [MSC 2020]$3VANC024528$2MF 606 $a62G05$xNonparametric estimation [MSC 2020]$3VANC029306$2MF 606 $a62G07$xDensity estimation [MSC 2020]$3VANC024543$2MF 606 $a62Gxx$xNonparametric inference [MSC 2020]$3VANC024592$2MF 606 $a62N02$xEstimation in survival analysis and censored data [MSC 2020]$3VANC033692$2MF 610 $aBayesian Statistics$9KW:K 610 $aClustering$9KW:K 610 $aMarkov Chains$9KW:K 610 $aMixture models$9KW:K 610 $aMonte Carlo$9KW:K 610 $aNonparametrics$9KW:K 620 $aCH$dCham$3VANL001889 702 1$aMüller$bPeter K.$3VANV087697 712 $aSpringer $3VANV108073$4650 790 1$aMüller, Peter$zMüller, Peter K.$3VANV251783 801 $aIT$bSOL$c20250704$gRICA 856 4 $uhttp://dx.doi.org/10.1007/978-3-319-18968-0$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 $aVAN00113615 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 0117 $e08eMF117 20180115 996 $aBayesian nonparametric data analysis$91522677 997 $aUNICAMPANIA