Código QR (código de barras bidimensional)

Universal Local Linear Kernel Estimators in Nonparametric Regression

New local linear estimators are proposed for a wide class of nonparametric regression models. The estimators are uniformly consistent regardless of satisfying traditional conditions of dependence of design elements. The estimators are the solutions of a specially weighted least-squares method. The d...

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Principais autores: Yuliana Linke, Igor Borisov, Pavel Ruzankin, Vladimir Kutsenko, Elena Yarovaya, Svetlana Shalnova
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-07-01
Serier:Mathematics
Fag:
nonparametric regression
kernel estimator
local linear estimator
uniform consistency
fixed design
random design
Online adgang:https://www.mdpi.com/2227-7390/10/15/2693
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