A stochastic expectation-maximization algorithm for the analysis of system lifetime data with known signature

DOI10.1007/s00180-015-0586-6zbMath1342.65073OpenAlexW258777065MaRDI QIDQ736650

Hon Keung Tony Ng, Yandan Yang, Narayanaswamy Balakrishnan

Publication date: 4 August 2016

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-015-0586-6

zbMATH Keywords

maximum likelihood estimationMonte Carlo simulationexpectation-maximization algorithmtype-II censoringreliability data

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Reliability and life testing (62N05)

Related Items

Component reliability estimation based on system failure-time data, EM algorithms for ordered and censored system lifetime data under a proportional hazard rate model, Estimating the parameters of twofold Weibull mixture model in right-censored reliability data by using genetic algorithm, On dependent multi-state semi-coherent systems based on multi-state joint signature, Statistical inference for component lifetime distribution from coherent system lifetimes under a proportional reversed hazard model, On ordered system signature and its dynamic version for coherent systems with applications, On the multi-state signatures of ordered system lifetimes, Stochastic EM algorithm for generalized exponential cure rate model and an empirical study

Uses Software

• R
• SPLIDA

Cites Work

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