In this paper, we studied an Adaptive Nadaraya Watson kernel estimator to check the bias effect on both side of the discontinuity in the presence of jump size for regression discontinuity model. We have proposed the modified Adaptive Nadaraya Watson kernel estimator and derived its normality andvariance. We have also compared with the asymptotic normality of the Mean Integrated Square Error (MISE) of Adaptive Nadaraya Watson kernel estimator and Nadaraya Watson kernel estimator. The results obtained from the simulation study have showed that Adaptive Nadaraya Watson estimator has better performance than the Nadaraya Watson Kernel estimator.</span
dth: 0px; "> Given a data set (xi , yi ) and connecting between xi and yi be assumed to follownon...
We propose a method of adaptive estimation of a regression function which is near optimal in the cla...
New method of adaptive estimation of a regression function is proposed. The resulting estimator achi...
In this paper, we studied an Adaptive Nadaraya Watson kernel estimator to check the bias effect on b...
Regression analysis is one of statistical analysis usually used to investigate the pattern of functi...
This article compared the performance between finite order kernel (normal) and infinite order kernel...
This paper presents a new look on the well-known nonparametric regression estimator – the Nadaraya-W...
Nonparametric kernel estimators are mostly used in a variety of statistical research fields. Nadaray...
This paper suggests an estimator of the number of jumps of the jump regression functions. The estima...
Analisis regresi adalah alat analisis statistik yang digunakan untuk mengetahui hubungan antar varia...
A kernel regression estimator is proposed wherein the regression function is smooth, except possibly...
The function approximation problem is to find the appropriate relationship between a dependent and i...
Nonparametric kernel estimators are mostly used in a variety of statistical research fields. Nadaray...
Regresi linear adalah metode statistika yang digunakan untuk membentuk model hubungan antara variabe...
Nadaraya watson�s kernel adjusted regression estimator is an estimator that whose kernel is taken ...
dth: 0px; "> Given a data set (xi , yi ) and connecting between xi and yi be assumed to follownon...
We propose a method of adaptive estimation of a regression function which is near optimal in the cla...
New method of adaptive estimation of a regression function is proposed. The resulting estimator achi...
In this paper, we studied an Adaptive Nadaraya Watson kernel estimator to check the bias effect on b...
Regression analysis is one of statistical analysis usually used to investigate the pattern of functi...
This article compared the performance between finite order kernel (normal) and infinite order kernel...
This paper presents a new look on the well-known nonparametric regression estimator – the Nadaraya-W...
Nonparametric kernel estimators are mostly used in a variety of statistical research fields. Nadaray...
This paper suggests an estimator of the number of jumps of the jump regression functions. The estima...
Analisis regresi adalah alat analisis statistik yang digunakan untuk mengetahui hubungan antar varia...
A kernel regression estimator is proposed wherein the regression function is smooth, except possibly...
The function approximation problem is to find the appropriate relationship between a dependent and i...
Nonparametric kernel estimators are mostly used in a variety of statistical research fields. Nadaray...
Regresi linear adalah metode statistika yang digunakan untuk membentuk model hubungan antara variabe...
Nadaraya watson�s kernel adjusted regression estimator is an estimator that whose kernel is taken ...
dth: 0px; "> Given a data set (xi , yi ) and connecting between xi and yi be assumed to follownon...
We propose a method of adaptive estimation of a regression function which is near optimal in the cla...
New method of adaptive estimation of a regression function is proposed. The resulting estimator achi...