Ara
Toplam kayıt 3, listelenen: 1-3
Choice of smoothing parameter for kernel type ridge estimators in semiparametric regression models
(National Statistical Institute, 2021)
This paper concerns kernel-type ridge estimators of parameters in a semiparametric model. These estimators are a generalization of the well-known Speckman’s approach based on kernel smoothing method. The most important ...
A survey of smoothing techniques based on a backfitting algorithm in estimation of semiparametric additive models
(John Wiley and Sons Inc, 2022)
This paper aims to present an overview of Semiparametric additive models. An estimation of the finite-parameters of semiparametric regression models that involve additive nonparametric components is explained, including ...
Right-censored partially linear regression model with error in variables: application with carotid endarterectomy dataset
(WALTER DE GRUYTER GMBH, 2023)
This paper considers a partially linear regression model relating a right-censored response variable to predictors and an extra covariate with measured error. The main problem here is that censorship and measurement error ...