It's proved that using the above asymmetric loss function, Taguchi's ideas of parameter design still works: first reduce the variance, and then reduce the bias.

In the paper, Asymmetric quadric loss function is put forward under Normal assumption, adjustment parameter is defined, and its best value is calculated which minimizes the total quality lose.