An alternative competing risk model to the Weibull distribution for modelling aging in lifetime data analysis

DOI10.1007/s10985-006-9019-8zbMath1109.62008OpenAlexW2043835100WikidataQ31064646 ScholiaQ31064646MaRDI QIDQ878295

Gilles Celeux, Nicolas Bousquet, Henri Bertholon

Publication date: 26 April 2007

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-006-9019-8

zbMATH Keywords

EM algorithmWeibull distributionBayesian inferenceImportance samplingLikelihood ratio testCompeting risk modelAgingAccidental failureFailure time distribution

Mathematics Subject Classification ID

Bayesian inference (62F15) Characterization and structure theory of statistical distributions (62E10) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (11)

Choosing the optimal intervention method to reduce human-related machine failures ⋮ Simplified Likelihood Based Goodness-of-fit Tests for the Weibull Distribution ⋮ Study of semiparametric copula models via divergences with bivariate censored data ⋮ Goodness-of-fit tests for the Weibull and extreme value distributions: A review and comparative study ⋮ Bayesian estimation of a competing risk model based on Weibull and exponential distributions under right censored data ⋮ Non-linear failure rate: a Bayes study using Hamiltonian Monte Carlo simulation ⋮ A Note on the Distribution of Bousquet ⋮ Eliciting vague but proper maximal entropy priors in Bayesian experiments ⋮ Statistical analysis for competing risks model from a Weibull distribution under progressively hybrid censoring ⋮ Bayes estimation of \(P(Y < X)\) for the Weibull distribution with arbitrary parameters ⋮ Asymptotic normality of kernel estimators based upon incomplete data

Uses Software

• SPLIDA

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Iterated importance sampling in missing data problems
• Tools for statistical inference. Observed data and data augmentation methods
• Bayesian sequential reliability for Weibull and related distributions
• Parametric modeling for survival with competing risks and masked failure causes
• Inference based on the EM algorithm for the competing risks model with masked causes of failure
• Bayesian Analysis of Competing Risks with Partially Masked Cause of Failure
• The Calculation of Posterior Distributions by Data Augmentation
• Maximum likelihood analysis of component reliability using masked system life-test data
• Analysis of competing risks survival data when some failure types are missing
• Maximum Likelihood Estimation in a Minimum-Type Model With Exponential and Weibull Failure Modes
• Bayesian Analysis for the Poly-Weibull Distribution
• A NOTE ON THE CONSISTENCY AND MAXIMA OF THE ROOTS OF LIKELIHOOD EQUATIONS

This page was built for publication: An alternative competing risk model to the Weibull distribution for modelling aging in lifetime data analysis