Nonparametric estimation of quantile functions for randomly right censored data
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Publication:2512579
DOI10.1016/j.jkss.2012.07.002zbMath1294.62230OpenAlexW2041952347MaRDI QIDQ2512579
Jinmi Kim, Choongrak Kim, Soonphill Hong
Publication date: 7 August 2014
Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jkss.2012.07.002
Nonparametric estimation (62G05) Nonparametric tolerance and confidence regions (62G15) Estimation in survival analysis and censored data (62N02)
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- Nonparametric inference for rates with censored survival data
- Asymptotically optimal bandwidth selection for kernel density estimators from randomly right-censored samples
- Kernel density and hazard function estimation in the presence of censoring
- Strong consistency properties of nonparametric estimators for randomly censored data. II: Estimation of density and failure rate
- A large sample study of the life table and product limit estimates under random censorship
- Survival analysis. Techniques for censored and truncated data.
- Bezier curve smoothing of the Kaplan-Meier estimator
- Bandwidth selection for kernel distribution function estimation
- Smoothing parameter selection for smooth distribution functions
- Nonparametric Estimation from Incomplete Observations
- Nonparametric density estimation from censored data
- A Kernel-Type Estimator of a Quantile Function From Right-Censored Data
- The rate of strong uniform consistency for the product-limit estimator
- Expressing the Kaplan-Meier Estimator as a Function of Empirical Subsurvival Functions
- Bandwith selection for the smoothing of distribution functions
- Smoothing techniques via the bezier curve
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