Coming from this general description of the Bayes theorem, the approach is easily transferred to the specific case of reactivity ratio estimation In terms of estimating reactivity ratios and their confidence intervals, equation ( ) is transformed to equation (28) (which is also shown in the technical section 3.2). Hereby, the data D is defined by the comononomer contents ( f 2 , F 2 ) and the estimator θ corrresponds to the set of reactivity ratios. The variables are denoted bold as they consist of at least two-dimensional vectors.