Abstract Statistical analysis is frequently used to determine how manufacturing tolerances or operating condition uncertainties affect system performance. Surrogate one of the accelerating ways in engineering tolerance quantification analyze uncertainty with an acceptable computational burden rather than costly traditional methods such as Monte Carlo simulation. Compared more complicated surrog...

Even when neural networks are widely used in a large number of applications, they still considered as black boxes and present some difficulties for dimensioning or evaluating their prediction error. This has led to an increasing interest the overlapping area between more traditional statistical methods, which can help overcome those problems. In this article, mathematical framework relating pol...