Asymptotic normality of kernel estimators based upon incomplete data

DOI10.1080/10485252.2016.1164312zbMath1348.62117OpenAlexW2324592747MaRDI QIDQ2832012

Fatiha Messaci, Mohamed Boukeloua

Publication date: 4 November 2016

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485252.2016.1164312

zbMATH Keywords

asymptotic normalityfailure ratedensitycensored data

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Censored data models (62N01)

Related Items (1)

Asymptotic properties of a kernel etimate of the conditional mode in the presence of doubly censored data

Cites Work

• An alternative competing risk model to the Weibull distribution for modelling aging in lifetime data analysis
• Rates of mean square convergence of density and failure rate estimators under twice censoring
• Weak convergence of a self-consistent estimator of the survival function with doubly censored data
• Some asymptotic properties of kernel estimators of a density function in case of censored data
• Strong consistency of a nonparametric estimator of the survival function with doubly censored data
• On self-consistent estimators and kernel density estimators with doubly censored data
• Rate of strong consistency for nonparametric estimators based on twice censored data
• Product-limit estimators of the survival function with twice censored data
• Bayesian survival estimation for incomplete data when the life distribution is proportionally related to the censoring time
• Remarks on Some Nonparametric Estimates of a Density Function
• On Estimation of a Probability Density Function and Mode

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