Konu "Kernel smoothing" için İstatistik Bölümü Koleksiyonu listeleme
Toplam kayıt 3, listelenen: 1-3
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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 ... -
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 ... -
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 ...