Revolutionizing Metamodeling: Stochastic Kriging Enhances Global Simulation Accuracy
Stochastic kriging is a new method for creating models from random data in simulations. It combines kriging and regression techniques to make accurate predictions. This tutorial explains how to choose the right parameters for stochastic kriging and how to use it to build models from simulation results. It also discusses the importance of getting the model right for accurate predictions.