Determining the optimal parameters under quadratic asymmetric loss function with general distribution

The normal distribution is used to describe quality characteristic in the classical Taguchi model. However, it is inappropriate for the normal distribution to be applied in many situations. In this paper we propose a new general distribution, called location-scale family, to determine optimal parameters under quadratic asymmetric loss function. This offers a useful alternative to normality frequently used in practice.