In this paper we construct thirteen different types of composite indices by linear combination of indicator variables (with and without outliers/data corruption). Weights of different indicator variables are obtained by maximization of the sum of squared (and, alternatively, absolute)...

In this paper, 13 different types of composite indices are constructed by linear combination of indicator variables (with and without outliers/data corruption). Weights of different indicator variables are obtained by maximizing the sum of squared (and, alternatively, absolute) correlation...