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Analysis of extreme top event frequency percentiles based on fast probability integration
Staple, B.; Haskin, F.E. - 2008
In risk assessments, a primary objective is to determine the frequency with which a collection of initiating and basic events, E{sub e} leads to some undesired top event, T. Uncertainties in the occurrence rates, x{sub t}, assigned to the initiating and basic events cause uncertainty in the top...
Persistent link: https://www.econbiz.de/10009436381
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Methods for dependency estimation and system unavailability evaluation based on failure data statistics. Volume 1, Summary report
Azarm, M.A.; Hsu, F.; Martinez-Guridi, G.; Vesely, W.E. - 2008
This report introduces a new perspective on the basic concept of dependent failures where the definition of dependency is based on clustering in failure times of similar components. This perspective has two significant implications: first, it relaxes the conventional assumption that dependent...
Persistent link: https://www.econbiz.de/10009435403
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Human decision error (HUMDEE) trees
Ostrom, L.T. - 2008
Graphical presentations of human actions in incident and accident sequences have been used for many years. However, for the most part, human decision making has been underrepresented in these trees. This paper presents a method of incorporating the human decision process into graphical...
Persistent link: https://www.econbiz.de/10009435378
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The Nuclear Organization and Management Analysis Concept methodology: Four years later
Haber, S.B.; Shurberg, D.A.; Barriere, M.T.; Hall, R.E. - 2008
The Nuclear Organization and Management Analysis Concept was first presented at the IEEE Human Factors meeting in Monterey in 1988. In the four years since that paper, the concept and its associated methodology has been demonstrated at two commercial nuclear power plants (NPP) and one fossil...
Persistent link: https://www.econbiz.de/10009435886
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Principles and applications of measurement and uncertainty analysis in research and calibration
Wells, C.V. - 2008
Interest in Measurement Uncertainty Analysis has grown in the past several years as it has spread to new fields of application, and research and development of uncertainty methodologies have continued. This paper discusses the subject from the perspectives of both research and calibration...
Persistent link: https://www.econbiz.de/10009435971
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Principles and applications of measurement and uncertainty analysis in research and calibration
Wells, C.V. - 2008
Interest in Measurement Uncertainty Analysis has grown in the past several years as it has spread to new fields of application, and research and development of uncertainty methodologies have continued. This paper discusses the subject from the perspectives of both research and calibration...
Persistent link: https://www.econbiz.de/10009437210
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The estimation of parameters in nonlinear, implicit measurement error models with experiment-wide measurements
Anderson, K.K. - 2008
Measurement error modeling is a statistical approach to the estimation of unknown model parameters which takes into account the measurement errors in all of the data. Approaches which ignore the measurement errors in so-called independent variables may yield inferior estimates of unknown model...
Persistent link: https://www.econbiz.de/10009435461
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Effect of initial seed and number of samples on simple-random and Latin-Hypercube Monte Carlo probabilities (confidence interval considerations)
ROMERO,VICENTE J. - 2008
In order to devise an algorithm for autonomously terminating Monte Carlo sampling when sufficiently small and reliable confidence intervals (CI) are achieved on calculated probabilities, the behavior of CI estimators must be characterized. This knowledge is also required in comparing the...
Persistent link: https://www.econbiz.de/10009435548
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Experimental uncertainty estimation and statistics for data having interval uncertainty.
Kreinovich, Vladik; Oberkampf, William Louis; Ginzburg, Lev - 2008
intervals. It reviews the application of basic descriptive statistics to data sets which contain intervals rather than …, interquartile range, moments, confidence limits, and other important statistics and summarizes the computability of these statistics … widths, etc.). It also reviews the prospects for analyzing such data sets with the methods of inferential statistics such as …
Persistent link: https://www.econbiz.de/10009435587
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Two-stage sampling for acceptance testing
Atwood, C.L.; Bryan, M.F. - 2008
Sometimes a regulatory requirement or a quality-assurance procedure sets an allowed maximum on a confidence limit for a mean. If the sample mean of the measurements is below the allowed maximum, but the confidence limit is above it, a very widespread practice is to increase the sample size and...
Persistent link: https://www.econbiz.de/10009435858