Analyse Des Incertitudes Dans L'évaluation Des Performances Des Systèmes D'évacuation Des Déchets Radioactifs |
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Page 93
... RANK CORRELATION It is usually clear , either from theoretical considerations or from actual sampling data , that not all of the input variables to large simulation codes are mutually independent . Thus , if the simulation is to be an ...
... RANK CORRELATION It is usually clear , either from theoretical considerations or from actual sampling data , that not all of the input variables to large simulation codes are mutually independent . Thus , if the simulation is to be an ...
Page 95
... rank of ) the ith element in the column j of R , ( a ) and aij is the ( i , j ) th entry of A. Now , the next step is to use A to construct a matrix A * whose rank correlation matrix R is " close " to the desired target rank correlation ...
... rank of ) the ith element in the column j of R , ( a ) and aij is the ( i , j ) th entry of A. Now , the next step is to use A to construct a matrix A * whose rank correlation matrix R is " close " to the desired target rank correlation ...
Page 124
... correlation is the Pearson product moment correlation coefficient . As it works directly on the values of each input ... rank correlation coefficient ( PRCC ) is the same test applied to the ranks of the values and is arguably the most ...
... correlation is the Pearson product moment correlation coefficient . As it works directly on the values of each input ... rank correlation coefficient ( PRCC ) is the same test applied to the ranks of the values and is arguably the most ...
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