Kernel density and hazard rate estimation for censored data under \(\alpha\)-mixing condition

DOI10.1023/A:1016157519826zbMath0991.62029OpenAlexW1549098439MaRDI QIDQ1610923

Eckhard Liebscher

Publication date: 20 August 2002

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1016157519826

zbMATH Keywords

strong convergencekernel density estimatorsright censorshiphazard rate estimator

Mathematics Subject Classification ID

estimation&go=Go Density estimation (62G07) properties of nonparametric inference&go=Go Asymptotic properties of nonparametric inference (62G20) data models&go=Go Censored data models (62N01) in survival analysis and censored data&go=Go Estimation in survival analysis and censored data (62N02)

Related Items (7)

On the convergence rates of kernel estimator and hazard estimator for widely dependent samples ⋮ Central limit theorem for the kernel estimator of the regression function for censored time series ⋮ The Kaplan–Meier estimator and hazard estimator for censored END survival time observations ⋮ Kernel regression uniform rate estimation for censored data under \(\alpha\)-mixing condition ⋮ Asymptotic normality of wavelet density estimator under censored dependent observations ⋮ A Berry-Esseen type bound in kernel density estimation for strong mixing censored samples ⋮ Wavelet detection of change points in hazard rate models with censored dependent data

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