On the reliability estimation of multicomponent stress–strength model for Burr XII distribution using progressively first-failure censored samples

DOI10.1080/00949655.2021.1970165OpenAlexW3197092114MaRDI QIDQ3390579

Shubham Saini, Sachin Tomer, Renu Garg

Publication date: 24 March 2022

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

Full work available at URL: https://doi.org/10.1080/00949655.2021.1970165

zbMATH Keywords

Monte Carlo simulationpoint estimationBayesian estimatorprogressive first failure censoringBurr XII distributionmulticomponent stress-strength

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Statistics (62-XX) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (4)

Stress–strength reliability estimation in a system with p-type non-identical multicomponents from PRHR family based on records ⋮ Estimation of stress-strength reliability for multicomponent system with a generalized inverted exponential distribution ⋮ Estimation of multicomponent stress–strength reliability based on unit Burr XII distribution: an application to dam occupancy rate of Istanbul, Turkey ⋮ Reliability inference for multicomponent stress-strength model from Kumaraswamy-G family of distributions based on progressively first failure censored samples

Uses Software

• BayesDA
• bootstrap

Cites Work

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