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Standard deviation method-intrinsic

Vn.30. In general, all of these sonrces of uncertainty should be integrally observed in the variability of the calculated results obtained for the critical experiments. The variability should include the Monte Carlo standard deviation in each calculated critical experiment value as well as any change in the calculated value caused by the consideration of experimental uncertainties. Thus these uncertainties will be intrinsically included in the bias and uncertainty in the bias. This variation or nncertainty in the bias should be established by a valid statistical treatment of the calculated k y values for the critical experiments. Methods exist [VII. 10] that enable the bias and uncertainty in the bias to be evaluated as a function of changes in a selected characteristic parameter. [Pg.355]


See other pages where Standard deviation method-intrinsic is mentioned: [Pg.285]    [Pg.306]    [Pg.396]    [Pg.391]    [Pg.21]    [Pg.278]    [Pg.482]    [Pg.285]    [Pg.114]    [Pg.1090]    [Pg.128]    [Pg.194]    [Pg.404]    [Pg.391]    [Pg.364]    [Pg.99]    [Pg.236]    [Pg.37]    [Pg.81]    [Pg.720]    [Pg.964]    [Pg.359]    [Pg.279]    [Pg.349]    [Pg.892]    [Pg.7]   
See also in sourсe #XX -- [ Pg.177 , Pg.206 , Pg.242 ]




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