Nonparametric relative regression under random censorship model

DOI10.1016/j.spl.2019.03.019zbMath1459.62058OpenAlexW2936387886WikidataQ128019286 ScholiaQ128019286MaRDI QIDQ2322636

Khardani Salah, Slaoui Yousri

Publication date: 5 September 2019

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2019.03.019

zbMATH Keywords

consistencyasymptotic normalitycensored datarelative regressionmean squared relative error

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Censored data models (62N01)

Related Items (11)

Nonparametric relative recursive regression ⋮ Strong consistency of the local linear relative regression estimator for censored data ⋮ The k nearest neighbors smoothing of the relative-error regression with functional regressor ⋮ Strong uniform consistency of the local linear relative error regression estimator under left truncation ⋮ Relative error prediction: Strong uniform consistency for censoring time series model ⋮ Unnamed Item ⋮ Nonparametric local linear estimation of the relative error regression function for twice censored data ⋮ Unnamed Item ⋮ Relative error prediction for twice censored data ⋮ Nonparametric relative recursive regression estimators for censored data ⋮ Asymptotic normality of the relative error regression function estimator for censored and time series data

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