Note on estimation of reliability under bivariate Pareto stress-strength model

DOI10.1007/BF02926000zbMath0911.62091OpenAlexW2088787198MaRDI QIDQ1381197

David D. Hanagal

Publication date: 17 March 1998

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02926000

zbMATH Keywords

reliabilityasymptotic normalitymaximum likelihood estimatorsstress-strength modelbivariate Pareto distribution

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Reliability and life testing (62N05)

Related Items (13)

A copula-based approach to account for dependence in stress-strength models ⋮ Stress–strength reliability estimation involving paired observation with ties using bivariate exponentiated half-logistic model ⋮ Stress-strength reliability with dependent variables based on copula function ⋮ Objective Bayesian inference for the reliability in a bivariate Lomax distribution ⋮ Time-dependent stress-strength reliability models based on phase type distribution ⋮ Estimation of reliability in a multicomponent stress-strength model based on a bivariate Kumaraswamy distribution ⋮ Unnamed Item ⋮ Interval estimators for reliability: the bivariate normal case ⋮ Bayesian inference onP(X>Y)in bivariate Rayleigh model ⋮ On the reliability for some bivariate dependent beta and Kumaraswamy distributions: a brief survey ⋮ Inference onP(Y < X)in Bivariate Rayleigh Distribution ⋮ On Marshall-Olkin type distribution with effect of shock magnitude ⋮ Classical and Bayesian estimation ofP(Y<X) for Kumaraswamy's distribution

Cites Work

• Estimation of Pr (Y < X) for the Pareto Distribution
• A Multivariate Exponential Distribution
• Estimation of the Probability that Y < X

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