Estimation and Model Selection for Left-truncated and Right-censored Lifetime Data with Application to Electric Power Transformers Analysis

DOI10.1080/03610918.2014.925923zbMath1349.62457OpenAlexW2165756619MaRDI QIDQ2828703

Shau-Kai Shiu, Takeshi Emura

Publication date: 26 October 2016

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://mpra.ub.uni-muenchen.de/57528/1/MPRA_paper_57528.pdf

zbMATH Keywords

reliabilityEM algorithmWeibull distributionlognormal distributionNewton-Raphson algorithmAkaike's information criterion

Mathematics Subject Classification ID

Censored data models (62N01) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (6)

Copula-based inference for bivariate survival data with left truncation and dependent censoring ⋮ Unnamed Item ⋮ Parametric likelihood inference and goodness-of-fit for dependently left-truncated data, a copula-based approach ⋮ Special feature: Recent statistical methods for survival analysis ⋮ Likelihood analysis and stochastic EM algorithm for left truncated right censored data and associated model selection from the Lehmann family of life distributions ⋮ Mixture additive hazards cure model with latent variables: application to corporate default data

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Nonparametric maximum likelihood estimation for dependent truncation data based on copulas
• Estimating the dimension of a model
• Estimation of parameters from progressively censored data using EM algorithm
• Left truncated and right censored Weibull data and likelihood inference with an illustration
• Prediction of remaining life of power transformers based on left truncated and right censored lifetime data
• Likelihood inference for lognormal data with left truncation and right censoring with an illustration
• Practical methods for competing risks data: A review
• Discriminating between the Weibull and log-normal distributions
• Can the strengths of AIC and BIC be shared? A conflict between model indentification and regression estimation
• Model Selection and Multimodel Inference
• Some Further Issues Concerning Likelihood Inference for Left Truncated and Right Censored Lognormal Data
• A new look at the statistical model identification

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