Abstract
Approximate confidence bounds for reliability, R=Pr(X>Y mod X,Y), are obtained, where X and Y are independent normal (Gaussian) random variables, and X and Y are vectors of measurements for X and Y, respectively. Balanced 1-way ANOVA (analysis of variants) random effect models are assumed for the populations of X and Y. Confidence bounds are derived for R under three cases for standard deviations, sigma /sub x/ and sigma /sub y/. An example shows how the results are used. >
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