New method predicts engineering outcomes with unprecedented accuracy using Stochastic Kriging.
Stochastic Kriging is a new method that helps predict uncertain engineering outcomes more accurately. By combining data uncertainty and number of replications, this method creates better optimization models for random simulations. It improves on traditional Kriging by considering more types of uncertainty. The results from three examples show that Stochastic Kriging is closer to real-world outcomes.
