Estimate the Partial Linear Model Using Wavelet and Kernel Smoothers

Authors

  • مناف يوسف حمود
  • يونس عامر حسن

DOI:

https://doi.org/10.33095/jeas.v26i119.1892

Keywords:

إنموذج الانحدار الخطي الجزئي, التمهيد المويجي, التمهيد الخطي الموضعي., Partial Linear Regression Models, Wavelet Smoother, Local Linear Smoother.

Abstract

This article aims to estimate the partially linear model by using two methods, which are the Wavelet and Kernel Smoothers. Simulation experiments are used to study the small sample behavior depending on different functions, sample sizes, and variances. Results explained that the wavelet smoother is the best depending on the mean average squares error criterion for all cases that used.

 

 

Downloads

Download data is not yet available.

Published

2020-04-30

How to Cite

حمود م. ي. and حسن ي. ع. (2020) “Estimate the Partial Linear Model Using Wavelet and Kernel Smoothers”, Journal of Economics and Administrative Sciences, 26(119), pp. 428–443. doi: 10.33095/jeas.v26i119.1892.

Issue

Section

Statistical Researches

Most read articles by the same author(s)