Weak asymptotic representations for quantiles of the product-limit estimator
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Publication:1100826
DOI10.1016/0378-3758(88)90002-XzbMath0641.62025OpenAlexW1966359734MaRDI QIDQ1100826
Irène Gijbels, Noël Veraverbeke
Publication date: 1988
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(88)90002-x
confidence intervalsproduct-limit estimatorquantileslifetime distributionkernel-type estimatorsSufficient conditionsresidual lifetime distributionBahadur-type representationfirst-order asymptotic resultsweak representation theorem
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Asymptotic approximation of kernel-type estimators with its application. ⋮ Quantile estimation in the proportional hazards model of random censorship ⋮ Sequential fixed-width confidence intervals for quantiles in the presence of censoring ⋮ Quantiles of the conditional residual lifetime ⋮ Relative deficiency op kernel type estimators of quantiles based on right censored data ⋮ Large sample properties of nonparametric copula estimators under bivariate censoring ⋮ Nonparametric estimation of univariate and bivariate survival functions under right censoring: a survey ⋮ \(\mathcal L_1\)-deficiency of the sample quantile estimator with respect to a kernel quantile estimator ⋮ Weak convergence of sequences of first passage processes and applications ⋮ Estimation of a smooth quantile function under the proportional hazards model ⋮ Estimation of the quantiles of the duration of old age ⋮ Weak and strong quantile representations for randomly truncated data with applications,
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- The product-limit estimator and the bootstrap: Some asymptotic representations
- Nonparametric Estimation from Incomplete Observations
- A Kernel-Type Estimator of a Quantile Function From Right-Censored Data
- Nonparametric Statistical Data Modeling
- A New Proof of the Bahadur Representation of Quantiles and an Application
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