Analysis of strength distributions of multi-modal failures using the EM algorithm
From MaRDI portal
Publication:5475368
DOI10.1080/10629360500108970zbMath1089.62118OpenAlexW2041294125MaRDI QIDQ5475368
Publication date: 16 June 2006
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10629360500108970
EM algorithmMLEcensoringmaskingWeibullmissing datalikelihood functioncompeting riskslognormalinverse Gaussian (wald)
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (2)
Modeling multiple risks in the presence of double censoring ⋮ Constant Stress Accelerated Life Test on a Multiple-Component Series System under Weibull Lifetime Distributions
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Estimating system and component reliabilities under partial information on cause of failure
- Nonparametric estimation of partial transition probabilities in multiple decrement models
- Analysis of incomplete data in presence of competing risks.
- Cumulative Damage Models for System Failure with Application to Carbon Fibers and Composites
- Nonparametric Estimation from Incomplete Observations
- Maximum likelihood estimation of Weibull parameters for two independent competing risk
- Maximum likelihood analysis of component reliability using masked system life-test data
- Local bandwidth selection for kernel density estimation from right-censored data based on asymptotic mean absolute error
- Bayesian Inference for Masked System Lifetime Data
- Applications of the EM Algorithm to the Analysis of Life Length Data
- Maximum Likelihood Estimation for Multi-Risk Model
This page was built for publication: Analysis of strength distributions of multi-modal failures using the EM algorithm