On the strong uniform consistency of the mode estimator for censored time series

DOI10.1007/s00184-010-0324-6zbMath1238.62103OpenAlexW1963881386MaRDI QIDQ421049

Elias Ould Saïd, Mohamed Lemdani, Salah Khardani

Publication date: 23 May 2012

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00184-010-0324-6

zbMATH Keywords

kernel estimatorKaplan-Meier estimatorcensored datastrong mixing conditionuniform almost sure convergence

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Censored data models (62N01) Strong limit theorems (60F15)

Related Items (6)

Asymptotic normality of the regression mode in the nonparametric random design model for censored data ⋮ Asymptotic Properties of the Semi-Parametric Estimators of the Conditional Density for Functional Data in the Single Index Model with Missing Data at Random ⋮ A semi-parametric mode regression with censored data ⋮ Uniform rate of strong consistency for a smooth kernel estimator of the conditional mode for censored time series ⋮ Relative error prediction for twice censored data ⋮ Nonparametric relative regression under random censorship model

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