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Journal of Al-Qadisiyah for Computer Science and Mathematics

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The Technique of Robust – Loess in Regression Analysis

    ZAINB HASSAN RADHY

Journal of Al-Qadisiyah for Computer Science and Mathematics, 2016, Volume 8, Issue 1, Pages 22-27

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Abstract

In this paper the robust-loess method is used to estimate the nonparametric regression function. The Loess is non-robust method and used in case of outliers where it bases on the less squares in regression which affects by presence of outliers. In this paper, the robust-loess has been implemented through applying the last absolute residuals and bi-square techniques which enhanced robustness to the weighted least squares in loess.
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(2016). The Technique of Robust – Loess in Regression Analysis. Journal of Al-Qadisiyah for Computer Science and Mathematics, 8(1), 22-27.
ZAINB HASSAN RADHY. "The Technique of Robust – Loess in Regression Analysis". Journal of Al-Qadisiyah for Computer Science and Mathematics, 8, 1, 2016, 22-27.
(2016). 'The Technique of Robust – Loess in Regression Analysis', Journal of Al-Qadisiyah for Computer Science and Mathematics, 8(1), pp. 22-27.
The Technique of Robust – Loess in Regression Analysis. Journal of Al-Qadisiyah for Computer Science and Mathematics, 2016; 8(1): 22-27.
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