A Distribution-Free Upper Confidence Bound for Pr{Y < X}: An Application to Stress-strength Models

A distribution-free upper s-confidence bound for Pr{Y < X} is obtained using s-independent samples of Y and X which are k-dimensional s-independent random vector variables each following a k-variate distribution. An application of the results to fatigue and stress-strength models is highlighted. A numerical example is discussed for illustration.