The Weibull–Pareto Composite Family with Applications to the Analysis of Unimodal Failure Rate Data

DOI10.1080/03610920802484100zbMath1167.62021OpenAlexW2024872944MaRDI QIDQ3391836

Kahadawala Cooray

Publication date: 13 August 2009

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920802484100

zbMATH Keywords

Paretoright censoringWeibullunimodal failure rateKaplan-Meier curve

Mathematics Subject Classification ID

Point estimation (62F10) Estimation in survival analysis and censored data (62N02)

Related Items (9)

MODELLING INSURANCE LOSSES USING CONTAMINATED GENERALISED BETA TYPE-II DISTRIBUTION ⋮ Bayesian estimators of the lognormal–Pareto composite distribution ⋮ Finite-sample performance of the T- and W-estimators for the Pareto tail index under data truncation and censoring ⋮ Parameter estimation for power function-lognormal composite distribution ⋮ A new generalization of Nadarajah-Haghighi distribution with application to cancer and COVID-19 deaths data ⋮ Modeling Severity and Measuring Tail Risk of Norwegian Fire Claims ⋮ Modeling with Weibull-Pareto Models ⋮ Extending composite loss models using a general framework of advanced computational tools ⋮ Using Model Averaging to Determine Suitable Risk Measure Estimates

Cites Work

• Generalized linear models
• Logistic Regression, Survival Analysis, and the Kaplan-Meier Curve
• A unimodal hazard rate function and its failure distribution
• A Generalization of the Weibull Distribution with Application to the Analysis of Survival Data
• Bayesian Estimators for Conditional Hazard Functions
• Modeling actuarial data with a composite lognormal-Pareto model

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