Estimating Outliers Using the Iterative Method in Partial Least Squares Regression Analysis for Linear Models.

Outliers affect the accuracy of the estimated parameters of the partial least squares regression model and give unacceptably large residual values. Traditional robust methods (used in ordinary least squares) cannot be used to treat outliers in estimating partial least squares regression model, due t...

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Main Authors: Mahammad Bazid, taha ali
Format: Article
Language:Arabic
Published: College of Computer Science and Mathematics, University of Mosul 2025-06-01
Series:المجلة العراقية للعلوم الاحصائية
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Online Access:https://stats.uomosul.edu.iq/article_187757_4ea717c227b568d9a428e31be4f9ce63.pdf
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author Mahammad Bazid
taha ali
author_facet Mahammad Bazid
taha ali
author_sort Mahammad Bazid
collection DOAJ
description Outliers affect the accuracy of the estimated parameters of the partial least squares regression model and give unacceptably large residual values. Traditional robust methods (used in ordinary least squares) cannot be used to treat outliers in estimating partial least squares regression model, due to the number of independent variables greater than the sample size, therefore, it was proposed to use an iterative method to treat outliers and estimation of partial least squares regression model parameters. The iterative method relies on identifying outliers and then estimating them using the initial estimated values and the residual and determining the optimal value that gives the least sum of squares error for the partial least square regression model. To illustrate the proposed method, simulated and real data were used based on a program MATLAB designed for this purpose. The proposed method provided accurate results for the partial squares regression model parameters depending on MSE criteria and addressed the problem of outliers.
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publisher College of Computer Science and Mathematics, University of Mosul
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series المجلة العراقية للعلوم الاحصائية
spelling doaj-art-2ceca4f656564522b8147e244da74dad2025-08-20T03:27:07ZaraCollege of Computer Science and Mathematics, University of Mosulالمجلة العراقية للعلوم الاحصائية1680-855X2664-29562025-06-012218810010.33899/iqjoss.2025.187757187757Estimating Outliers Using the Iterative Method in Partial Least Squares Regression Analysis for Linear Models.Mahammad Bazid0taha ali1Department of Statistics and Informatics, College of Administration & Economics, Salahaddin University, Erbil, IraqDepartment of Statistics and Informatics, College of Administration & Economics, Salahaddin University, Erbil, IraqOutliers affect the accuracy of the estimated parameters of the partial least squares regression model and give unacceptably large residual values. Traditional robust methods (used in ordinary least squares) cannot be used to treat outliers in estimating partial least squares regression model, due to the number of independent variables greater than the sample size, therefore, it was proposed to use an iterative method to treat outliers and estimation of partial least squares regression model parameters. The iterative method relies on identifying outliers and then estimating them using the initial estimated values and the residual and determining the optimal value that gives the least sum of squares error for the partial least square regression model. To illustrate the proposed method, simulated and real data were used based on a program MATLAB designed for this purpose. The proposed method provided accurate results for the partial squares regression model parameters depending on MSE criteria and addressed the problem of outliers.https://stats.uomosul.edu.iq/article_187757_4ea717c227b568d9a428e31be4f9ce63.pdfpartial least squares regressionlinear modeloutliersresidualsand iterative method
spellingShingle Mahammad Bazid
taha ali
Estimating Outliers Using the Iterative Method in Partial Least Squares Regression Analysis for Linear Models.
المجلة العراقية للعلوم الاحصائية
partial least squares regression
linear model
outliers
residuals
and iterative method
title Estimating Outliers Using the Iterative Method in Partial Least Squares Regression Analysis for Linear Models.
title_full Estimating Outliers Using the Iterative Method in Partial Least Squares Regression Analysis for Linear Models.
title_fullStr Estimating Outliers Using the Iterative Method in Partial Least Squares Regression Analysis for Linear Models.
title_full_unstemmed Estimating Outliers Using the Iterative Method in Partial Least Squares Regression Analysis for Linear Models.
title_short Estimating Outliers Using the Iterative Method in Partial Least Squares Regression Analysis for Linear Models.
title_sort estimating outliers using the iterative method in partial least squares regression analysis for linear models
topic partial least squares regression
linear model
outliers
residuals
and iterative method
url https://stats.uomosul.edu.iq/article_187757_4ea717c227b568d9a428e31be4f9ce63.pdf
work_keys_str_mv AT mahammadbazid estimatingoutliersusingtheiterativemethodinpartialleastsquaresregressionanalysisforlinearmodels
AT tahaali estimatingoutliersusingtheiterativemethodinpartialleastsquaresregressionanalysisforlinearmodels