Results 271 to 280 of about 27,916,807 (331)
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Model-Based Reliability Analysis With Both Model Uncertainty and Parameter Uncertainty
Journal of Mechanical Design, 2019Model-based reliability analysis may not be practically useful if reliability estimation contains uncontrollable errors. This paper addresses potential reliability estimation errors from model bias together with model parameters.
Zhimin Xi
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Adaptive Bayesian support vector regression model for structural reliability analysis
Reliability Engineering & System Safety, 2021Kai Cheng, Zhenzhou Lu
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2021
A New Perspective on Individual Reliability beyond Group Effect for Event-related Potentials: A Multisensory Investigation and Computational ...
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A New Perspective on Individual Reliability beyond Group Effect for Event-related Potentials: A Multisensory Investigation and Computational ...
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IBM Systems Journal, 1983
Methods proposed for software reliability prediction are reviewed. A case study is then presented of the analysis of failure data from a Space Shuttle software project to predict the number of failures likely during a mission, and the subsequent verification of these predictions.
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Methods proposed for software reliability prediction are reviewed. A case study is then presented of the analysis of failure data from a Space Shuttle software project to predict the number of failures likely during a mission, and the subsequent verification of these predictions.
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Analytical and Bioanalytical Chemistry, 2004
Stefanie, Trapmann, Hendrik, Emons
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Stefanie, Trapmann, Hendrik, Emons
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Volume 6: 33rd Design Automation Conference, Parts A and B, 2007
Traditional reliability analysis uses probability distributions to calculate reliability. In many engineering applications, some nondeterministic variables are known within intervals. When both random variables and interval variables are present, a single probability measure, namely, the probability of failure or reliability, is not available in ...
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Traditional reliability analysis uses probability distributions to calculate reliability. In many engineering applications, some nondeterministic variables are known within intervals. When both random variables and interval variables are present, a single probability measure, namely, the probability of failure or reliability, is not available in ...
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Probability, Statistics, and Reliability for Engineers and Scientists
Introduction Introduction Knowledge, Information, and Opinions Ignorance and Uncertainty Aleatory and Epistemic Uncertainties in System Abstraction Characterizing and Modeling Uncertainty Simulation for Uncertainty Analysis and Propagation Simulation ...
B. Ayyub, R. McCuen
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