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Toplam kayıt 4, listelenen: 1-4
Modified estimators in semiparametric regression models with right-censored data
(Taylor & Francis Ltd, 2018)
In this work we introduce different modified estimators for the vector parameter and an unknown regression function g in semiparametric regression models when censored response observations are replaced with synthetic data ...
Estimation of semiparametric regression model with right-censored high-dimensional data
(Taylor & Francis Ltd, 2019)
In this paper, we consider the estimation problem for the semiparametric regression model with censored data in which the number of explanatory variables p in the linear part is much larger than sample size n, often denoted ...
Smoothing parameter selection in semiparametric regression models with censored data
(Inst Advanced Science Extension, 2017)
In this paper, we introduce penalized spline estimators for the unknown function and a parameter vector in a semiparametric regression model with right censored data. In order to obtain this estimator accurately and ...
Kernel Ridge Estimator for the Partially Linear Model under Right-Censored Data
(IRANIAN STATISTICAL SOC, 2021)
Objective: This paper aims to introduce a modified kernel-type ridge estimator for partially linear models under randomly-right censored data. Such models include two main issues that need to be solved: multi-collinearity ...