Bayesian Inference for NASA Probabilistic Risk and Reliability AnalysisThis document, Bayesian Inference for NASA Probabilistic Risk and Reliability Analysis, is intended to provide guidelines for the collection and evaluation of risk and reliability-related data. It is aimed at scientists and engineers familiar with risk and reliability methods and provides a hands-on approach to the investigation and application of a variety of risk and reliability data assessment methods, tools, and techniques. This document provides both: A broad perspective on data analysis collection and evaluation issues. A narrow focus on the methods to implement a comprehensive information repository. The topics addressed herein cover the fundamentals of how data and information are to be used in risk and reliability analysis models and their potential role in decision making. Understanding these topics is essential to attaining a risk informed decision making environment that is being sought by NASA requirements and procedures such as 8000.4 (Agency Risk Management Procedural Requirements), NPR 8705.05 (Probabilistic Risk Assessment Procedures for NASA Programs and Projects), and the System Safety requirements of NPR 8715.3 (NASA General Safety Program Requirements).
Special Publication (SP)
Dezfuli, Homayoon (NASA Headquarters Washington, DC United States)
Kelly, Dana (Idaho National Lab. Idaho Falls, ID, United States)
Smith, Curtis (Idaho National Lab. Idaho Falls, ID, United States)
Vedros, Kurt (Idaho National Lab. Idaho Falls, ID, United States)
Galyean, William (Idaho National Lab. Idaho Falls, ID, United States)