LEADER 01931nam  2200457I  450 
001 9910706919903321
005 20180427103408.0
035   $a(CKB)5470000002460282
035   $a(OCoLC)1032614124
035   $a(EXLCZ)995470000002460282
100   $a20180427j201801    ua             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aDeveloping a bayesian belief network model for quantifying the probability of software failure of a protection system /$fprepared by: Tsong-Lun Chu [and six others]
210  1$aWashington, D.C. :$cUnited States Nuclear Regulatory Commission, Office of Nuclear Regulatory Research,$dJanuary 2018.
215   $a1 online resource (various pagings) $cillustrations
300   $a"NUREG/CR-7233."
300   $a"Manuscript completed: July 2016; date published: January 2018."
300   $a"Brookhaven National Laboratory."
300   $a"Ulsan National Institute of Science and Technology."
300   $a"Korea Advanced Institute of Science and Technology."
300   $a"Korea Atomic Energy Research Institute."
300   $a"NUV Technology, LLC."
300   $a"Ming Li, NRC project manager."
300   $a"BNL-NUREG-112737-2016; KAERI/TR-6006/2015"--Biblographic data sheet.
320   $aIncludes bibliographical references.
606   $aSoftware failures
606   $aBayesian statistical decision theory
615  0$aSoftware failures.
615  0$aBayesian statistical decision theory.
700   $aChu$b Tsong-Lun$01407839
712 02$aU.S. Nuclear Regulatory Commission.$bOffice of Nuclear Regulatory Research,
801  0$bGPO
801  1$bGPO
906   $aBOOK
912   $a9910706919903321
996   $aDeveloping a bayesian belief network model for quantifying the probability of software failure of a protection system$93548847
997   $aUNINA