Efficient estimation of a distribution function based on censored data

DOI10.1016/j.spl.2018.09.003zbMath1407.62103OpenAlexW2890434370MaRDI QIDQ1726816

Filippos Alevizos, Dimitrios Ioannides, Dimitrios Bagkavos

Publication date: 20 February 2019

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2018.09.003

zbMATH Keywords

kernel estimationright censoringsurvival functionKaplan-Meier

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)

Cites Work

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• A goodness of fit test for the survival function under random right censoring
• Kernel estimation of a smooth distribution function based on censored data
• Asymptotically optimal bandwidth selection for kernel density estimators from randomly right-censored samples
• Families of smooth confidence bands for the survival function under the general random censorship model
• Smooth estimation of the reliability function
• Smooth confidence intervals for the survival function under random right censoring
• CDF and survival function estimation with infinite-order kernels
• Nonparametric Estimation from Incomplete Observations
• Relative efficiency and deficiency of kernel type estimators of smooth distribution functions
• Asymptotically optimal bandwidth for a smooth nonparametric quantile estimator under censoring
• Efficient Estimation of a Distribution Function under Quadrant Dependence

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