LEADER 01504nam 2200385I 450 001 9910705447903321 005 20140902153042.0 035 $a(CKB)5470000002450908 035 $a(OCoLC)889810894 035 $a(EXLCZ)995470000002450908 100 $a20140902d2013 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aDefining a technical basis for confidence in PV investments $ea pathway to service life prediction /$fSarah Kurtz [and six others] 210 1$a[Golden, Colo.] :$cNational Renewable Energy Laboratory,$d2013. 215 $a1 online resource (41 pages, 1 unnumbered page) $ccolor illustrations 225 1 $aNREL/PR ;$v5200-60554 300 $aTitle from title screen (viewed July 2, 2014). 300 $a"IEEE Reliability Symposium, Phoenix, Arizona, September 17, 2013." 320 $aIncludes bibliographical references. 517 $aDefining a technical basis for confidence in PV investments 606 $aPhotovoltaic power systems$zUnited States$xReliability$vCongresses 608 $aConference papers and proceedings.$2lcgft 615 0$aPhotovoltaic power systems$xReliability 700 $aKurtz$b S. R.$01382404 712 02$aNational Renewable Energy Laboratory (U.S.), 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910705447903321 996 $aDefining a technical basis for confidence in PV investments$93465943 997 $aUNINA LEADER 02259nam0 2200481 i 450 001 VAN0127385 005 20230628093232.789 017 70$2N$a9789811335167 100 $a20200309d2019 |0itac50 ba 101 $aeng 102 $aSG 105 $a|||| ||||| 200 1 $aSurvival Analysis with Correlated Endpoints$eJoint Frailty-Copula Models$fTakeshi Emura, Shigeyuki Matsui, Virginie Rondeau 210 $aSingapore$cSpringer$d2019 215 $axvii, 118 p.$cill.$d24 cm 410 1$1001VAN0113968$12001 $aSpringerBriefs in Statistics. JSS research series in statistics$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN0237145$aSurvival Analysis with Correlated Endpoints$91734560 606 $a62N05$xReliability and life testing [MSC 2020]$3VANC021560$2MF 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62P10$xApplications of statistics to biology and medical sciences; meta analysis [MSC 2020]$3VANC024649$2MF 606 $a62Hxx$xMultivariate analysis [MSC 2020]$3VANC026440$2MF 606 $a92B15$xGeneral Biostatistics [MSC 2020]$3VANC026442$2MF 606 $a62N01$xCensored data models [MSC 2020]$3VANC030962$2MF 610 $aCompeting risks$9KW:K 610 $aCompound Covariate$9KW:K 610 $aCox Regression$9KW:K 610 $aKendall?s Tau$9KW:K 610 $aMeta-analysis$9KW:K 610 $aSemi-Competing Risk$9KW:K 610 $aSurrogate Endpoint$9KW:K 620 $aSG$dSingapore$3VANL000061 700 1$aEmura$bTakeshi$3VANV096576$0767963 701 1$aMatsui$bShigeyuki$3VANV095585$0781819 701 1$aRondeau$bVirginie$3VANV098838$0782108 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-981-13-3516-7$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 $aVAN0127385 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 1870 $e08eMF1870 20200309 996 $aSurvival Analysis with Correlated Endpoints$91734560 997 $aUNICAMPANIA