Estimate the Partial Linear Model Using Wavelet and Kernel Smoothers

Authors

• Munaf Yousif Hmood, Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq
• Younis Amer Hassan, Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq

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.

DOI

10.33095/jeas.v26i119.1892

Subject Area

Statistical

First Page

428

Last Page

443

Rights

http://creativecommons.org/licenses/by-nc-nd/4.0

Recommended Citation

Hmood, M. Y., & Hassan, Y. A. (2020). Estimate the Partial Linear Model Using Wavelet and Kernel Smoothers. Journal of Economics and Administrative Sciences, 26(119), 428-443. https://doi.org/10.33095/jeas.v26i119.1892