Maximum deviation of error density estimators in censored linear regression
From MaRDI portal
Publication:452874
DOI10.1016/J.SPL.2012.05.001zbMath1334.62152OpenAlexW2065839133MaRDI QIDQ452874
Publication date: 18 September 2012
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2012.05.001
maximum deviationKaplan-Meier estimatorkernel density estimationright censored datacensored linear regression
Density estimation (62G07) Linear regression; mixed models (62J05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)
Related Items (4)
Asymptotic properties of hazard rate estimator in censored linear regression ⋮ The Lp consistency of error density estimator in censored linear regression ⋮ A law of the iterated logarithm for error density estimator in censored linear regression ⋮ The strong uniform consistency of kernel estimator of a smooth distribution function in censored linear regression
Cites Work
- Estimating regression parameters using linear rank tests for censored data
- Some asymptotic properties of kernel estimators of a density function in case of censored data
- Asymptotic behavior of the empiric distribution of M-estimated residuals from a regression model with many parameters
- Density and hazard rate estimation for censored data via strong representation of the Kaplan-Meier estimator
- Kernel density and hazard function estimation in the presence of censoring
- Large sample theory of a modified Buckley-James estimator for regression analysis with censored data
- Weighted empirical processes in dynamic nonlinear models.
- Residuals density estimation in censored linear regression model
- Empirical process of residuals for high-dimensional linear models
- On some global measures of the deviations of density function estimates
- Linear regression with censored data
- Weak and strong uniform consistency of kernel regression estimates
This page was built for publication: Maximum deviation of error density estimators in censored linear regression
