Estimate the Partial Linear Model Using Wavelet and Kernel Smoothers

  • مناف يوسف حمود
  • يونس عامر حسن

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.

 

 

Published
2020-04-30
How to Cite
حمودم. and حسني. (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.
Section
Statistical Researches

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