Analysis of non-repairable cold-standby systems in Bayes theory

DOI10.1080/00949655.2015.1101464OpenAlexW2301870326MaRDI QIDQ5222461

Xiang Jia, Bo Guo

Publication date: 1 April 2020

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

Full work available at URL: https://doi.org/10.1080/00949655.2015.1101464

zbMATH Keywords

Monte Carlo simulationMCMC methodBayes theorycold-standby system

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Estimation in survival analysis and censored data (62N02)

Related Items (4)

Reliability modeling of two-unit cold standby systems: a periodic switching approach ⋮ Reliability analysis of cold-standby systems using a self-stratifying subset simulation method ⋮ Bayes estimation of \(P(Y < X)\) for the Weibull distribution with arbitrary parameters ⋮ Inference on \(q\)-Weibull parameters

Cites Work

• Inferences on Weibull parameters with conventional type-I censoring
• Bayesian inference and prediction of order statistics for a type-II censored Weibull distribution
• On the mean residual life of a \(k\)-out-of-\(n:G\) system with a single cold standby component
• A simple algorithm for generating random variates with a log-concave density
• Reliability function of a class of time-dependent systems with standby redundancy
• Reliability evaluation of multi-component cold-standby redundant systems
• Bayesian inference under progressive type-I interval censoring
• The Bayesian approach for highly reliable electro-explosive devices using one-shot device testing
• Equation of State Calculations by Fast Computing Machines
• Monte Carlo sampling methods using Markov chains and their applications
• Statistical Inference Based on Progressively Type II Censored Data from Weibull Model

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