Covariance matrix of experimental results

This section, based on Ref. [47], shows once more practical rules to build the covariance matrix associated with experimental data with correlated uncertainty (see also Sections and ), treating explicitly also the case of normalization uncertainty. Then it will be shown that, in this case, the covariance matrix evaluated in this way produces biased $\chi^2$ fits.