Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/124296
Title: Robust explicit estimators of Weibull parameters
Authors: Boudt, Kris
Karagöz, Derya
Croux, Christophe
Keywords: Weibull distribution
Estimation theory -- Asymptotic theory
Robust statistics
Monte Carlo method
Outliers (Statistics)
Issue Date: 2011
Publisher: Springer
Citation: Boudt, K., Caliskan, D., & Croux, C. (2011). Robust explicit estimators of Weibull parameters. Metrika, 73, 187-209.
Abstract: The Weibull distribution plays a central role in modeling duration data. Its maximum likelihood estimator is very sensitive to outliers.We propose three robust and explicit Weibull parameter estimators: the quantile least squares, the repeated median and the median/𝘘𝘯 estimator. We derive their breakdown point, influence function, asymptotic variance and study their finite sample properties in a Monte Carlo study. The methods are illustrated on real lifetime data affected by a recording error.
URI: https://www.um.edu.mt/library/oar/handle/123456789/124296
Appears in Collections:Scholarly Works - FacSciSOR

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