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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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 |
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International Islamic University Malaysia |
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Online Access |
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English |
topic |
QA Mathematics |
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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 |
_version_ |
1777413225210445824 |