Estimation of Stress-Strength Reliability for the Pareto Distribution Based on Upper Record Values

DOI10.6092/ISSN.1973-2201/8242zbMath1473.62337OpenAlexW2923654140MaRDI QIDQ5162911

P. Anilkumar, Rahmath Manzil Juvairiyya

Publication date: 6 November 2021

Full work available at URL: https://doaj.org/article/1b04687232164b63bac9a0419a25b6be

zbMATH Keywords

record valuesmaximum likelihood estimatorBayes estimatorPareto distributionstress-strength reliability

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Point estimation (62F10) Bayesian inference (62F15) Reliability and life testing (62N05)

Related Items (1)

Bayesian predictive density estimation with parametric constraints for the exponential distribution with unknown location

Cites Work

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• Estimation of the stress-strength reliability for the two-parameter bathtub-shaped lifetime distribution based on upper record values
• Estimation of \(P[Y<X\) for generalized Pareto distribution]
• Inference on \(\text{Pr}(X < Y)\) in the two-parameter Weibull model based on records
• On estimation of stress–strength parameter using record values from proportional hazard rate models
• Estimation of Pr(Y < X) for the two-parameter generalized exponential records
• Estimation of Pr(X < Y) Using Record Values in the One and Two Parameter Exponential Distributions

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