scholarly journals Nonparametric Kernel Distribution Function Estimation withkerdiest: AnRPackage for Bandwidth Choice and Applications

2012 ◽  
Vol 50 (8) ◽  
Author(s):  
Alejandro Quintela-del-Río ◽  
Graciela Estévez-Pérez
Keyword(s):  
Distribution Function ◽  
Function Estimation ◽  
Distribution Function Estimation ◽  
Nonparametric Kernel

NONPARAMETRIC KERNEL DISTRIBUTION FUNCTION ESTIMATION NEAR ENDPOINTS

2021 ◽  
Vol 10 (12) ◽  
pp. 3679-3697
Author(s):  
N. Almi ◽  
A. Sayah
Keyword(s):  
Distribution Function ◽  
Cumulative Distribution Function ◽  
Kernel Estimator ◽  
Real Data ◽  
Cumulative Distribution ◽  
Function Estimation ◽  
Distribution Function Estimation ◽  
The Right ◽  
Nonparametric Kernel ◽  
Better Than

In this paper, two kernel cumulative distribution function estimators are introduced and investigated in order to improve the boundary effects, we will restrict our attention to the right boundary. The first estimator uses a self-elimination between modify theoretical Bias term and the classical kernel estimator itself. The basic technique of construction the second estimator is kind of a generalized reflection method involving reflection a transformation of the observed data. The theoretical properties of our estimators turned out that the Bias has been reduced to the second power of the bandwidth, simulation studies and two real data applications were carried out to check these phenomena and are conducted that the proposed estimators are better than the existing boundary correction methods.

Kernel distribution function estimation under the Koziol–Green model

2000 ◽  
Vol 87 (2) ◽  
pp. 199-219 ◽  
Author(s):  
Jacobo de Uña-Álvarez ◽  
Wenceslao González-Manteiga ◽  
Carmen Cadarso-Suárez
Keyword(s):  
Distribution Function ◽  
Function Estimation ◽  
Distribution Function Estimation ◽  
Green Model

Design-based distribution function estimation for stigmatized populations

Metrika ◽  
2013 ◽  
Vol 76 (7) ◽  
pp. 919-935 ◽  
Author(s):  
Lucio Barabesi ◽  
Giancarlo Diana ◽  
Pier Francesco Perri
Keyword(s):  
Distribution Function ◽  
Function Estimation ◽  
Distribution Function Estimation
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