Title :
Bias in a stress-strength problem
Author_Institution :
Tech. Univ. of Nova Scotia, Halifax, NS, Canada
fDate :
8/1/1989 12:00:00 AM
Abstract :
The bias of the maximum likelihood estimator for R≠Pr{ X<Y} where X and Y are independent normal random variables with unknown parameters is discussed. The bias is an odd function with respect to δ=gauf-1 (R), where gauf(·) is the Cdf of the standard normal distribution, so the study is restricted to R ⩾0.5, or equivalently, δ⩾0. There exists δ0>0 such that the bias is positive in the interval 0<δ<δ0. R has a positive bias at least in the interval 0.84<R<0.94
Keywords :
reliability theory; statistical analysis; bias; maximum likelihood estimator; reliability; standard normal distribution; stress-strength problem; Gaussian distribution; Maximum likelihood estimation; Predictive models; Probability; Random variables; Reliability theory; Root mean square; Statistical distributions; Stress; TV;
Journal_Title :
Reliability, IEEE Transactions on