Parametric Sensitivity Analysis for Importance Measure on Failure Probability and Its Efficient Kriging Solution

Table 1

Computational results of the importance measure in Example 1.

Method	Importance measure		The numbers of function evaluations
	MC	0.00492		0.00537
ALK	0.00476	0.00548	12 + 36
Error	0.0033	0.0052