Comparison of Some Suggested Estimators Based on Differencing Technique in the Partial Linear Model Using Simulation

In this paper new methods were presented based on technique of differences which is the difference- based modified jackknifed generalized ridge regression estimator(DMJGR) and difference-based generalized jackknifed ridge regression estimator(DGJR), in estimating the parameters of linear part of th...

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Bibliographic Details
Published in:	Majallat Baghdād lil-ʻulūm Vol. 16; no. 4; p. 918
Main Author:	Hussein, Saja Mohammad
Format:	Journal Article
Language:	Arabic English
Published:	College of Science for Women, University of Baghdad 01-01-2019
Subjects:	DAUGRR, DGJR, DGRR, Differences technique, DMJGR, NW estimator
Online Access:	Get full text
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Summary:	In this paper new methods were presented based on technique of differences which is the difference- based modified jackknifed generalized ridge regression estimator(DMJGR) and difference-based generalized jackknifed ridge regression estimator(DGJR), in estimating the parameters of linear part of the partially linear model. As for the nonlinear part represented by the nonparametric function, it was estimated using Nadaraya Watson smoother. The partially linear model was compared using these proposed methods with other estimators based on differencing technique through the MSE comparison criterion in simulation study.
ISSN:	2078-8665 2411-7986
DOI:	10.21123/bsj.2019.16.4.0918