Some asymptotic properties of nonparametric regression estimators in case of randomly censored data

DOI10.1080/02331889108802287zbMath0738.62047OpenAlexW2120491408MaRDI QIDQ3971443

Jan Mielniczuk

Publication date: 25 June 1992

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331889108802287

zbMATH Keywords

nonparametric regressionnonnegative bivariate random variables

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items (1)

Nonparametric Estimation of the Multivariate Distribution Function in a Censored Regression Model with Applications

Cites Work

• Some asymptotic properties of kernel estimators of a density function in case of censored data
• The \(L_1\) convergence of kernel density estimates
• On the almost everywhere convergence of nonparametric regression function estimates
• Consistency properties of nearest neighbor density function estimators
• Nonparametric Estimation from Incomplete Observations
• A LIL type result for the product limit estimator
• Rank tests for association with right censored data
• Local Properties of k-NN Regression Estimates

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