Some convergence results for kernel-type quantile estimators under censoring
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Publication:1085916
DOI10.1016/0167-7152(87)90018-6zbMath0608.62049OpenAlexW1970283837MaRDI QIDQ1085916
Publication date: 1987
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-7152(87)90018-6
product-limit estimatorAsymptotic normalityRates of convergencebounds for mean-square-errorkernel smoothed quantile functionrandom-right-censorship model
Asymptotic distribution theory in statistics (62E20) Nonparametric estimation (62G05) Order statistics; empirical distribution functions (62G30)
Related Items (6)
A kernel nonparametric quantile estimator for right-censored competing risks data ⋮ SMOOTH QUANTILE PROCESSES FROM RIGHT CENSORED DATA AND CONSTRUCTION OF SIMULTANEOUS CONFIDENCE BANDS ⋮ A smooth nonparametric quantile estimator from right-censored data ⋮ Optimum invariant tests for random manova models ⋮ A modified kernel quantile estimator under censoring ⋮ Asymptotically optimal bandwidth for a smooth nonparametric quantile estimator under censoring
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- A Kernel-Type Estimator of a Quantile Function From Right-Censored Data
- A LIL type result for the product limit estimator
- The rate of strong uniform consistency for the product-limit estimator
- Nonparametric Statistical Data Modeling
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