JMASM 46: Algorithm for comparison of robust regression methods in multiple linear regression by weighting least Square Regression

Mohd Ibrahim, Mohamad Shafiq and Wan Ahmad, Wan Muhamad Amir and Zafakali, Nur Syabiha (2017) JMASM 46: Algorithm for comparison of robust regression methods in multiple linear regression by weighting least Square Regression. Journal of Modern Applied Statistical Methods, 16 (2). pp. 490-505. ISSN 1538−9472

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Abstract

The aim of this study is to compare different robust regression methods in three main models of multiple linear regression and weighting multiple linear regression. An algorithm for weighting multiple linear regression by standard deviation and variance for combining different robust method is given in SAS along with an application.

Item Type:	Article (Journal)
Additional Information:	8915/72210
Uncontrolled Keywords:	Multiple linear regression, robust regression, M, LTS, S, MM estimation
Subjects:	Q Science > QA Mathematics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Dentistry Kulliyyah of Dentistry > Department of Paediatric Dentistry and Dental Public Health
Depositing User:	Dr Mohamad Shafiq Mohd Ibrahim
Date Deposited:	16 May 2019 14:24
Last Modified:	16 May 2019 14:24
URI:	http://irep.iium.edu.my/id/eprint/72210

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