Interval estimators for reliability: the bivariate normal case

DOI10.1080/02664763.2011.602055OpenAlexW2032991594MaRDI QIDQ5126964

Alessandro Barbiero

Publication date: 21 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2011.602055

zbMATH Keywords

Monte Carlo simulationsvariance estimationparametric bootstrapstress-strength modelsapproximate estimators

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (6)

Inference on stress–strength reliability for exponential distributions with a common scale parameter ⋮ Estimation of stress-strength reliability using discrete phase type distribution ⋮ Kernel-based estimation of P(X < Y) when X and Y are dependent random variables based on progressive type II censoring ⋮ Time-dependent stress-strength reliability models based on phase type distribution ⋮ Bayes estimation for exponential distributions with common location parameter and applications to multi-state reliability models ⋮ Bayesian inference onP(X>Y)in bivariate Rayleigh model

Cites Work

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• Quotient of Laplace and Gumbel random variables
• Confidence limits for stress-strength reliability involving Weibull models
• Note on estimation of reliability under bivariate Pareto stress-strength model
• Reliability for some bivariate beta distributions
• New Approximate Inferential Methods for the Reliability Parameter in a Stress–Strength Model: The Normal Case
• Reliability For A Bivariate Gamma Distribution
• Statistical Inference for Pr(Y < X): The Normal Case
• Estimation of reliability in a bivariate normal distribution with equal coefficients of variation
• The Estimation of Reliability from Stress-Strength Relationships

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