In this paper some procedures for building confidence intervals for the reliability in stress-strength models are discussed and empirically compared. The particular case of a bivariate normal setup is considered. The confidence intervals suggested are obtained employing approximations or asymptotic properties of maximum likelihood estimators. The coverage and the precision of these intervals are empirically checked through a simulation study. An application to real paired data is also provided.
Comparing interval estimators for reliability in a dependent set-up / A. Barbiero. - In: WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY. - ISSN 2010-376X. - 71:(2010 Nov), pp. 82-85. (Intervento presentato al 71. convegno International conference on computational Mathematics, Statistics and Data engineering tenutosi a Venezia nel 2010).
Comparing interval estimators for reliability in a dependent set-up
A. Barbiero
Primo
2010
Abstract
In this paper some procedures for building confidence intervals for the reliability in stress-strength models are discussed and empirically compared. The particular case of a bivariate normal setup is considered. The confidence intervals suggested are obtained employing approximations or asymptotic properties of maximum likelihood estimators. The coverage and the precision of these intervals are empirically checked through a simulation study. An application to real paired data is also provided.
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