Smooth conditional distribution function and quantiles under random censorship

DOI10.1023/A:1015897720112zbMath1116.62397OpenAlexW1498641555WikidataQ74617960 ScholiaQ74617960MaRDI QIDQ1423316

Eve Leconte, Sandrine Poiraud-Casanova, Christine Thomas-Agnan

Publication date: 14 February 2004

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1015897720112

zbMATH Keywords

conditional quantilesmoothing techniquescensored datanonparametric estimationgeneralized Kaplan-Meier estimator

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Censored data models (62N01)

Related Items (12)

Semiparametric copula-based regression modeling of semi-competing risks data ⋮ Nonparametric estimation of the conditional survival function with double smoothing ⋮ A Generalization of Turnbull’s Estimator for Interval-Censored and Doubly Truncated Data ⋮ On the performance of some non-parametric estimators of the conditional survival function with interval-censored data ⋮ Weighted quantile regression for censored data with application to export duration data ⋮ A generalization of Turnbull's estimator for nonparametric estimation of the conditional survival function with interval-censored data ⋮ Comparison of kernel estimators of conditional distribution function and quantile regression under censoring ⋮ Improving the estimation of Kendall's tau when censoring affects only one of the variables ⋮ Nonparametric estimation of the conditional survival function for bivariate failure times ⋮ Nonparametric Model-Based Estimators for the Cumulative Distribution Function of a Right Censored Variable in a Small Area ⋮ Piecewise Linear Continuous Estimators of the Quantile Function ⋮ Gini index estimation for lifetime data

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