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Interval Estimation for the Stress-Strength Reliability with Bivariate Normal Variables
Department of Economics, Georgia State University, Atlanta, GA, USA
Department of Economics, Simon Fraser University, Burnaby, Canada
Department of Mathematics and Statistics, York University, Toronto, Canada
- 1 Department of Economics, Georgia State University, Atlanta, GA, USA
- 2 Department of Economics, Simon Fraser University, Burnaby, Canada
- 3 Department of Mathematics and Statistics, York University, Toronto, Canada
Open Journal of Statistics·Volume 04 (2014)·Pages 630–640·Published 16 September 2014·DOI10.4236/ojs.2014.48059
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Abstract
We propose a procedure to obtain accurate confidence intervals for the stress-strength reliability R = P ( X > Y ) when ( X , Y ) is a bivariate normal distribution with unknown means and covariance matrix. Our method is more accurate than standard methods as it possesses a third-order distributional accuracy. Simulations studies are provided to show the performance of the proposed method relative to existing ones in terms of coverage probability and average length. An empirical example is given to illustrate its usefulness in practice.
KeywordsBivariate Normal DistributionInterval EstimationLikelihood AnalysisReliability
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