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Developing a bayesian belief network model for quantifying the probability of software failure of a protection system / prepared by: Tsong-Lun Chu [and six others].

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Record details

  • Physical Description: 1 online resource (various pagings) : illustrations
  • Publisher: Washington, D.C. : United States Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, January 2018.

Content descriptions

General Note:
"Manuscript completed: July 2016; date published: January 2018."
"Brookhaven National Laboratory."
"Ulsan National Institute of Science and Technology."
"Korea Advanced Institute of Science and Technology."
"Korea Atomic Energy Research Institute."
"NUV Technology, LLC."
"Ming Li, NRC project manager."
"BNL-NUREG-112737-2016; KAERI/TR-6006/2015"--Bibliographic data sheet.
Bibliography, etc. Note:
Includes bibliographical references.
Type of Report and Period Covered Note:
Funding Information Note:
Sponsored by the Division of Risk Analysis, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission NRC-HQ-60-15-D-0006
Source of Description Note:
Description based on online resource; title from PDF title page (NRC, viewed Apr. 20, 2018).
Subject: Software failures.
Bayesian statistical decision theory.

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