Weighting method: Individually scaled interval widths

Weighted by the rescaled interval width within individuals across claims.

weight_nIndivInterval(expert_judgements)

Arguments

expert_judgements

A dataframe in the form of data_ratings

Details

This function is used inside IntervalWAgg for aggregation types "IndIntWAgg", "IndIntAsymWAgg" and "KitchSinkWAgg". Interval width weights are rescaled relative to an individuals interval widths across all claims.

\[w\_nIndivInterval_{i,c} = \frac{1}{\frac{U_{i,c}-L_{i,c}}{\max\left({(U_{i,d}-L_{i,d}):d=1,...,C}\right)}}\]