  This paper shows a simple parameter substitution, which makes use of the
reciprocal relation of typical objective functions with typical random
parameters. Thereby, the accuracy of first-order probabilistic analysis
improves significantly at almost no additional computational cost. The
parameter substitution requires a transformation of the stochastic distribution
of the substituted parameter, which is explained for different cases.
