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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Main Author: Saja Mohammad Hussein
Format: Article
Language:English
Published: University of Baghdad, College of Science for Women 2019-12-01
Series:مجلة بغداد للعلوم
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Online Access:http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/4508
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author Saja Mohammad Hussein
author_facet Saja Mohammad Hussein
author_sort Saja Mohammad Hussein
collection DOAJ
description 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.
format Article
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institution DOAJ
issn 2078-8665
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publishDate 2019-12-01
publisher University of Baghdad, College of Science for Women
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series مجلة بغداد للعلوم
spelling doaj-art-54d766ec5abb47d0b07e4c30b7fba4722025-08-20T03:14:46ZengUniversity of Baghdad, College of Science for Womenمجلة بغداد للعلوم2078-86652411-79862019-12-0116410.21123/bsj.2019.16.4.0918Comparison of Some Suggested Estimators Based on Differencing Technique in the Partial Linear Model Using SimulationSaja Mohammad HusseinIn 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.http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/4508DAUGRR, DGJR, DGRR, Differences technique, DMJGR, NW estimator
spellingShingle Saja Mohammad Hussein
Comparison of Some Suggested Estimators Based on Differencing Technique in the Partial Linear Model Using Simulation
مجلة بغداد للعلوم
DAUGRR, DGJR, DGRR, Differences technique, DMJGR, NW estimator
title Comparison of Some Suggested Estimators Based on Differencing Technique in the Partial Linear Model Using Simulation
title_full Comparison of Some Suggested Estimators Based on Differencing Technique in the Partial Linear Model Using Simulation
title_fullStr Comparison of Some Suggested Estimators Based on Differencing Technique in the Partial Linear Model Using Simulation
title_full_unstemmed Comparison of Some Suggested Estimators Based on Differencing Technique in the Partial Linear Model Using Simulation
title_short Comparison of Some Suggested Estimators Based on Differencing Technique in the Partial Linear Model Using Simulation
title_sort comparison of some suggested estimators based on differencing technique in the partial linear model using simulation
topic DAUGRR, DGJR, DGRR, Differences technique, DMJGR, NW estimator
url http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/4508
work_keys_str_mv AT sajamohammadhussein comparisonofsomesuggestedestimatorsbasedondifferencingtechniqueinthepartiallinearmodelusingsimulation