Relative deficiency op kernel type estimators of quantiles based on right censored data

DOI10.1080/03610929008830283zbMath0724.62048OpenAlexW2005772364MaRDI QIDQ3212133

J. K. Ghorai, Lídia Rejtő

Publication date: 1990

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929008830283

zbMATH Keywords

right censored datamean square errorskernel type estimatorsasymptotic relative deficiencykernel type quantile estimatorsproduct-limit quantile

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (2)

CDF and survival function estimation with infinite-order kernels ⋮ Estimation of a smooth quantile function under the proportional hazards model

Cites Work

• Relative deficiency of kernel type estimators of quantiles
• A combinatoric approach to the Kaplan-Meier estimator
• Strong approximations of the quantile process of the product-limit estimator
• On the asymptotic properties of a kernel type quantile estimator from censored samples
• Weak asymptotic representations for quantiles of the product-limit estimator
• The product-limit estimator and the bootstrap: Some asymptotic representations
• The mean-square error of Bahadur's order-statistic approximation
• Nonparametric Estimation from Incomplete Observations
• A Kernel-Type Estimator of a Quantile Function From Right-Censored Data
• On the mean squared error of nonparametric quantile estimators under random right-censorship

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