A stress-strength model is concerned with the statistical problem of evaluating the reliability parameter R = P(X <Y ), where X and Y are taken to be independent random variables. Classical likelihood based procedures for inference on R are available, but it is well-known that they can be inaccurate when the sample size is small, in particular in the presence of many unknown parameters. In this paper, we discuss and apply higher-order likelihood based procedures to obtain accurate confidence intervals for R. The accuracy of the proposed methodology is illustrated by numerical studies.

Likelihood asymptotics for the stress-strength model P(X
CORTESE, GIULIANA;VENTURA, LAURA
2009

Abstract

A stress-strength model is concerned with the statistical problem of evaluating the reliability parameter R = P(X
2009
Proceedings S.Co.2009: Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction

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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2374219
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