Estimation ofR=P[Y<X] for three-parameter generalized Rayleigh distribution

DOI10.1080/00949655.2013.839678zbMath1457.62315OpenAlexW2049513052MaRDI QIDQ5220751

Debasis Kundu, Mohammad Zayed Raqab

Publication date: 27 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2013.839678

zbMATH Keywords

Bayes estimatorasymptotic distributionsmaximum-likelihood estimatorstress-strength modelcredible intervalsbootstrap confidence intervals

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Point estimation (62F10) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (6)

Stress–strength reliability estimation involving paired observation with ties using bivariate exponentiated half-logistic model ⋮ Stress-strength reliability estimation for exponentially distributed system with common minimum guarantee time ⋮ A study of stress-strength reliability using a generalization of power transformed half-logistic distribution ⋮ Reliability estimation of stress-strength model using finite mixture distributions under progressively interval censoring ⋮ Reliability estimation of multicomponent stress-strength model based on copula function under progressively hybrid censoring ⋮ Reliability inference of stress-strength model for the truncated proportional hazard rate distribution under progressively type-II censored samples

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• Bayesian Likelihood Methods for Estimating the End Point of a Distribution
• Inference for reliability and stress-strength for a scaled Burr type \(X\) distribution

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