Analyse Des Incertitudes Dans L'évaluation Des Performances Des Systèmes D'évacuation Des Déchets Radioactifs |
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Page 91
... Normal Distribution The case in which X has a multivariate normal distribution is one in which it is possible to generate realizations of X whose components are correlated . The linearity properties of normally distributed random vari ...
... Normal Distribution The case in which X has a multivariate normal distribution is one in which it is possible to generate realizations of X whose components are correlated . The linearity properties of normally distributed random vari ...
Page 92
... normally distributed . Second , the distribution function F of a normal vector X is completely determined by the mean vector μ and the covariance matrix . In other words , if the individual components of X are normally distributed and ...
... normally distributed . Second , the distribution function F of a normal vector X is completely determined by the mean vector μ and the covariance matrix . In other words , if the individual components of X are normally distributed and ...
Page 142
... normal distribution of InY , the Statistical ( u = 95 % , v = 95 % ) Tolerance Limit is provided by 1.94 + 2.026 • 2.59 = 7.19 [ 12 ] . If this limit is used as an estimate of the u % fractile of the assumed normal cdf of InY one can be ...
... normal distribution of InY , the Statistical ( u = 95 % , v = 95 % ) Tolerance Limit is provided by 1.94 + 2.026 • 2.59 = 7.19 [ 12 ] . If this limit is used as an estimate of the u % fractile of the assumed normal cdf of InY one can be ...
Contents
EXECUTIVE SUMMARY CONCLUSIONS AND RECOMMENDATIONS | 11 |
OVERVIEW OF THE TREATMENT OF UNCERTAINTIES ARISING | 18 |
INTRODUCTORY ADDRESS | 32 |
Copyright | |
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annual dose application approach Atomic Energy calculated Canada Limited Canadian concept ccdf components computer code conceptual model confidence interval Conover consequence correlation coefficients cumulative distribution function cumulative frequency deterministic disposal system Energy of Canada equations errors example Figure fractile frequency histograms fuel waste disposal geologic geosphere groundwater Iman incertitudes input parameters input variables input vector Latin hypercube sampling mathematical model maximum dose model output model prediction multivariate normal distribution Nuclear Fuel Waste output variable p-value parameter uncertainty parameter values performance assessment probabilistic probabilistic risk assessments probability density functions procedure processes quantify quantitative radioactive waste radioactive waste disposal radiological radionuclide random variables rank correlation regression regulatory release repository risk assessment sampling strategy scenario selected sensitivity analysis simple random sampling sources of uncertainty specified standard deviation stochastic SYVAC techniques tion Type 2 uncertainty uncertainty analysis uncertainty associated UTAP variance variation vault Waste Management