On estimation of reliability in a multicomponent stress-strength model for a Kumaraswamy distribution based on progressively censored sample

DOI10.1007/S00362-017-0916-6zbMath1432.62331OpenAlexW2618561539MaRDI QIDQ2338240

Akram Kohansal

Publication date: 21 November 2019

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

Full work available at URL: https://doi.org/10.1007/s00362-017-0916-6

zbMATH Keywords

asymptotic distributionMonte Carlo simulationmaximum likelihood estimatorprogressive type-II censoringBayesian estimatorKumaraswamy distributionasymptotic confidence intervalmulticomponent stress-strength

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Asymptotic distribution theory in statistics (62E20) Point estimation (62F10) Censored data models (62N01) Bayesian inference (62F15) Monte Carlo methods (65C05) Reliability and life testing (62N05)

Related Items (19)

Estimation of stress–strength reliability for generalized Maxwell failure distribution under progressive first failure censoring ⋮ Bayesian and classical estimation of R=P(X<Y) based on Burr type XII distribution under hybrid progressive censored samples ⋮ Estimation procedures for Kumaraswamy distribution parameters under adaptive type-II hybrid progressive censoring ⋮ Inference for reliability in a multicomponent stress-strength model from generalized inverted exponential lifetime distribution under progressive first failure censoring ⋮ Reliability estimation in a multicomponent stress–strength model under generalized half-normal distribution based on progressive type-II censoring ⋮ Multi-component reliability inference in modified Weibull extension distribution and progressive censoring scheme ⋮ Inference of multicomponent stress-strength reliability following Topp-Leone distribution using progressively censored data ⋮ Estimation of stress-strength probability in a multicomponent model based on geometric distribution ⋮ Unnamed Item ⋮ Stress-strength parameter estimation based on type-II progressive censored samples for a Weibull-half-logistic distribution ⋮ On the reliability estimation of multicomponent stress–strength model for Burr XII distribution using progressively first-failure censored samples ⋮ Reliability estimation of \(s\)-out-of-\(k\) system in a multicomponent stress-strength dependent model based on copula function ⋮ Bayesian and classical estimation of reliability in a multicomponent stress-strength model under adaptive hybrid progressive censored data ⋮ Inference for an inverted exponentiated Pareto distribution under progressive censoring ⋮ Inference of reliability in a multicomponent stress-strength model under generalized progressive hybrid censoring ⋮ Reliability inference for multicomponent stress-strength model from Kumaraswamy-G family of distributions based on progressively first failure censored samples ⋮ Classical and Bayesian estimation of multicomponent stress-strength reliability for exponentiated Pareto distribution ⋮ Reliability analysis of multicomponent stress–strength reliability from a bathtub-shaped distribution ⋮ Multi-component stress–strength parameter estimation of a non-identical-component strengths system under the adaptive hybrid progressive censoring samples

Uses Software

• BayesDA

Cites Work

• Estimation of \(R=P(Y<X)\) for three-parameter Weibull distribution
• Theoretical comparison of bootstrap confidence intervals
• Estimation of system reliability
• Estimation of reliability in a multicomponent stress-strength model based on a bivariate Kumaraswamy distribution
• Statistical analysis for Kumaraswamy's distribution based on record data
• Burr-XII Distribution Parametric Estimation and Estimation of Reliability of Multicomponent Stress-Strength
• Estimation of reliability of multicomponent stress–strength for a Kumaraswamy distribution
• Estimation of Reliability in a Multicomponent Stress-Strength Model
• Estimation of δ=P(X<Y) for Burr XII distribution based on the progressively first failure-censored samples
• Classical and Bayesian estimation ofP(Y<X) for Kumaraswamy's distribution
• Estimation and prediction of the Kumaraswamy distribution based on record values and inter-record times
• Inference about the mean difference of two non-normal populations based on independent samples: a comparative study
• Estimation ofP(Y < X) for the Three-Parameter Generalized Exponential Distribution
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