Classical and Bayesian estimation ofP(Y<X) for Kumaraswamy's distribution
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Publication:5220003
DOI10.1080/00949655.2012.750658zbMath1453.62694OpenAlexW2094074960MaRDI QIDQ5220003
Fatih Kızılaslan, Mustafa Nadar, Alexander Papadopoulos
Publication date: 9 March 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2012.750658
Bayes estimatormaximum-likelihood estimatorstress-strength modelempirical Bayes estimationLindley approximationKumaraswamy's distribution
Related Items (19)
On estimation of stress–strength reliability with log-Lindley distribution ⋮ Stress-strength reliability analysis of multi-state system based on generalized survival signature ⋮ Inference of progressively censored competing risks data from Kumaraswamy distributions ⋮ Reliability estimation of a \(N\)-\(M\)-cold-standby redundancy system in a multicomponent stress-strength model with generalized half-logistic distribution ⋮ Bayesian and classical estimation of R=P(X<Y) based on Burr type XII distribution under hybrid progressive censored samples ⋮ Reliability analysis for stress-strength model from a general family of truncated distributions under censored data ⋮ Estimation of stress-strength reliability for the multivariate SGPII distribution ⋮ Reliability analysis of Birnbaum–Saunders model based on progressive type-II censoring ⋮ Reliability estimation for Kumaraswamy distribution under block progressive type-II censoring ⋮ Classical and Bayesian estimation of reliability in a multicomponent stress-strength model based on the proportional reversed hazard rate mode ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Estimation and prediction of the Kumaraswamy distribution based on record values and inter-record times ⋮ Reliability estimation of the stress–strength model with non-identical jointly type-II censored Weibull component strengths ⋮ Stress-strength reliability estimation under the standard two-sided power distribution ⋮ On the reliability estimation of multicomponent stress–strength model for Burr XII distribution using progressively first-failure censored samples ⋮ Reliability estimation in a multicomponent stress-strength model for Burr XII distribution under progressive censoring ⋮ On estimation of reliability in a multicomponent stress-strength model for a Kumaraswamy distribution based on progressively censored sample ⋮ Inference for partially observed competing risks model for Kumaraswamy distribution under generalized progressive hybrid censoring
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