The article concerns the evaluation of reliability for stress-strength models. A parametric bootstrap approach is suggested for the interval estimation of reliability, and its performance is checked and compared to other procedures available from literature through a simulation study performed on artificial data. The normal case is here examined

Parametric bootstrap for reliability assessment / A. Barbiero - In: MTISD 2010 : methods, models and information technologies for decision support systems : abstract book[s.l] : Università degli studi "G. d'Annunzio" di Chieti-Pescara, 2010 Sep. (( Intervento presentato al 4. convegno MTISD 2010 : methods, models and information technologies for decision support systems tenutosi a Università degli studi "G. d' Annunzio" di Chieti-Pescara nel 2010.

Parametric bootstrap for reliability assessment

A. Barbiero
Primo
2010

Abstract

The article concerns the evaluation of reliability for stress-strength models. A parametric bootstrap approach is suggested for the interval estimation of reliability, and its performance is checked and compared to other procedures available from literature through a simulation study performed on artificial data. The normal case is here examined
Confidence intervals ; Mmaximum likelihood estimation ; Monte Carlo simulation ; Normal samples ; Resampling ; Stress-strength model ; Variance estimation
Settore SECS-S/01 - Statistica
set-2010
Università degli studi "G. d' Annunzio" di Chieti-Pescara
Book Part (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/152102
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