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

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 give...

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Main Authors: Mohd Ibrahim, Mohamad Shafiq, Wan Ahmad, Wan Muhamad Amir, Zafakali, Nur Syabiha
Format: Article
Language:English
Published: 2017
Subjects:
Online Access:http://irep.iium.edu.my/72210/
http://irep.iium.edu.my/72210/
http://irep.iium.edu.my/72210/
http://irep.iium.edu.my/72210/1/ALGORITHM%20FOR%20COMPARISON%20OF%20ROBUST%20REGRESSION%20METHODS_2.pdf
id iium-72210
recordtype eprints
spelling iium-722102019-05-16T06:24:51Z http://irep.iium.edu.my/72210/ JMASM 46: Algorithm for comparison of robust regression methods in multiple linear regression by weighting least Square Regression Mohd Ibrahim, Mohamad Shafiq Wan Ahmad, Wan Muhamad Amir Zafakali, Nur Syabiha QA Mathematics 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. 2017-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/72210/1/ALGORITHM%20FOR%20COMPARISON%20OF%20ROBUST%20REGRESSION%20METHODS_2.pdf 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 https://digitalcommons.wayne.edu/cgi/viewcontent.cgi?article=2300&context=jmasm 10.22237/jmasm/1509496020
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic QA Mathematics
spellingShingle QA Mathematics
Mohd Ibrahim, Mohamad Shafiq
Wan Ahmad, Wan Muhamad Amir
Zafakali, Nur Syabiha
JMASM 46: Algorithm for comparison of robust regression methods in multiple linear regression by weighting least Square Regression
description 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.
format Article
author Mohd Ibrahim, Mohamad Shafiq
Wan Ahmad, Wan Muhamad Amir
Zafakali, Nur Syabiha
author_facet Mohd Ibrahim, Mohamad Shafiq
Wan Ahmad, Wan Muhamad Amir
Zafakali, Nur Syabiha
author_sort Mohd Ibrahim, Mohamad Shafiq
title JMASM 46: Algorithm for comparison of robust regression methods in multiple linear regression by weighting least Square Regression
title_short JMASM 46: Algorithm for comparison of robust regression methods in multiple linear regression by weighting least Square Regression
title_full JMASM 46: Algorithm for comparison of robust regression methods in multiple linear regression by weighting least Square Regression
title_fullStr JMASM 46: Algorithm for comparison of robust regression methods in multiple linear regression by weighting least Square Regression
title_full_unstemmed JMASM 46: Algorithm for comparison of robust regression methods in multiple linear regression by weighting least Square Regression
title_sort jmasm 46: algorithm for comparison of robust regression methods in multiple linear regression by weighting least square regression
publishDate 2017
url http://irep.iium.edu.my/72210/
http://irep.iium.edu.my/72210/
http://irep.iium.edu.my/72210/
http://irep.iium.edu.my/72210/1/ALGORITHM%20FOR%20COMPARISON%20OF%20ROBUST%20REGRESSION%20METHODS_2.pdf
first_indexed 2023-09-18T21:42:22Z
last_indexed 2023-09-18T21:42:22Z
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