The performance of robust correlation coefficient under contaminated bivariate data

Classical correlation coefficient is a powerful statistical analysis when measuring a relationship between the bivariate normal distribution when the assumptions are fulfill.However, this classical correlation coefficient performs poor in the presence of outlier. Thus, this study aims to propose new...

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Main Authors: Zakaria, Nur Amira, Abdullah, Suhaida, Ahad, Nor Aishah, Yusof, Norhayati, Syed Yahaya, Sharipah Soaad
Format: Conference or Workshop Item
Published: 2016
Subjects:
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author Zakaria, Nur Amira
Abdullah, Suhaida
Ahad, Nor Aishah
Yusof, Norhayati
Syed Yahaya, Sharipah Soaad
author_facet Zakaria, Nur Amira
Abdullah, Suhaida
Ahad, Nor Aishah
Yusof, Norhayati
Syed Yahaya, Sharipah Soaad
author_sort Zakaria, Nur Amira
collection UUM
description Classical correlation coefficient is a powerful statistical analysis when measuring a relationship between the bivariate normal distribution when the assumptions are fulfill.However, this classical correlation coefficient performs poor in the presence of outlier. Thus, this study aims to propose new version of robust correlation coefficient based on MAD n and S n .The performance of this proposed robust correlation coefficient will be evaluated based on three indicators which were the value of the correlation coefficient, average bias and standard error. The proposed procedure is expected to produce MAD n correlation coefficient and S n correlation coefficient.Both coefficients are expected to perform better than classical correlation coefficient and resistance to the outlier.
first_indexed 2024-07-04T06:12:39Z
format Conference or Workshop Item
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institution Universiti Utara Malaysia
last_indexed 2024-07-04T06:12:39Z
publishDate 2016
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spelling uum-201792016-12-04T06:59:07Z https://repo.uum.edu.my/id/eprint/20179/ The performance of robust correlation coefficient under contaminated bivariate data Zakaria, Nur Amira Abdullah, Suhaida Ahad, Nor Aishah Yusof, Norhayati Syed Yahaya, Sharipah Soaad QA75 Electronic computers. Computer science Classical correlation coefficient is a powerful statistical analysis when measuring a relationship between the bivariate normal distribution when the assumptions are fulfill.However, this classical correlation coefficient performs poor in the presence of outlier. Thus, this study aims to propose new version of robust correlation coefficient based on MAD n and S n .The performance of this proposed robust correlation coefficient will be evaluated based on three indicators which were the value of the correlation coefficient, average bias and standard error. The proposed procedure is expected to produce MAD n correlation coefficient and S n correlation coefficient.Both coefficients are expected to perform better than classical correlation coefficient and resistance to the outlier. 2016 Conference or Workshop Item PeerReviewed Zakaria, Nur Amira and Abdullah, Suhaida and Ahad, Nor Aishah and Yusof, Norhayati and Syed Yahaya, Sharipah Soaad (2016) The performance of robust correlation coefficient under contaminated bivariate data. In: 4th International Conference on Quantitative Sciences and Its Applications (ICOQSIA 2016), 16–18 August 2016, Bangi, Selangor, Malaysia. http://doi.org/10.1063/1.4966107 doi:10.1063/1.4966107 doi:10.1063/1.4966107
spellingShingle QA75 Electronic computers. Computer science
Zakaria, Nur Amira
Abdullah, Suhaida
Ahad, Nor Aishah
Yusof, Norhayati
Syed Yahaya, Sharipah Soaad
The performance of robust correlation coefficient under contaminated bivariate data
title The performance of robust correlation coefficient under contaminated bivariate data
title_full The performance of robust correlation coefficient under contaminated bivariate data
title_fullStr The performance of robust correlation coefficient under contaminated bivariate data
title_full_unstemmed The performance of robust correlation coefficient under contaminated bivariate data
title_short The performance of robust correlation coefficient under contaminated bivariate data
title_sort performance of robust correlation coefficient under contaminated bivariate data
topic QA75 Electronic computers. Computer science
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