A General Class of Loss Functions with Industrial Applications

Fred Spiring, Anthony Yeung

Journal of Quality Technology · 1998 · 98 citations · 5 references

Concepts

Abstract

Over the last few years, loss functions have become increasingly important in quality assurance settings. In this paper, we develop a class of loss functions based on inversions of probability density functions and present industrial examples to illustrate process monitoring and control using economic loss instead of measurements.

References

5