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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 ne...
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| creator | Zakaria, Nur Amira Abdullah, Suhaida Ahad, Nor Aishah Yusof, Norhayati Yahaya, Sharipah Soaad Syed |
| 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. |
| doi_str_mv | 10.1063/1.4966107 |
| format | conference_proceeding |
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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.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/1.4966107</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Bivariate analysis ; Correlation coefficients ; Normal distribution ; Robustness ; Standard error ; Statistical analysis</subject><ispartof>AIP conference proceedings, 2016, Vol.1782 (1)</ispartof><rights>Author(s)</rights><rights>2016 Author(s). Published by AIP Publishing.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,780,784,789,790,23929,23930,25139,27923,27924</link.rule.ids></links><search><contributor>Zulkepli, Jafri</contributor><contributor>Ahmad, Nazihah</contributor><contributor>Jamil, Jastini</contributor><contributor>Aziz, Nazrina</contributor><creatorcontrib>Zakaria, Nur Amira</creatorcontrib><creatorcontrib>Abdullah, Suhaida</creatorcontrib><creatorcontrib>Ahad, Nor Aishah</creatorcontrib><creatorcontrib>Yusof, Norhayati</creatorcontrib><creatorcontrib>Yahaya, Sharipah Soaad Syed</creatorcontrib><title>The performance of robust correlation coefficient under contaminated bivariate data</title><title>AIP conference proceedings</title><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.</description><subject>Bivariate analysis</subject><subject>Correlation coefficients</subject><subject>Normal distribution</subject><subject>Robustness</subject><subject>Standard error</subject><subject>Statistical analysis</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2016</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNp9kEtLAzEUhYMoWKsL_0HAnTA1N8-ZpRRfILiwgruQmSSY0iZjJlPw3zvagjtX93D5OIdzELoEsgAi2Q0seCMlEHWEZiAEVEqCPEYzQhpeUc7eT9HZMKwJoY1S9Qy9rj4c7l32KW9N7BxOHufUjkPBXcrZbUwJKU7aeR-64GLBY7QuT59YzDZEU5zFbdiZHCaJrSnmHJ14sxncxeHO0dv93Wr5WD2_PDwtb5-rngpWKiuIc60yCsArIL5hjnrfCMqFN7U3UDuwnHDFFIemA2m56joJvuWsVgTYHF3tffucPkc3FL1OY45TpKZAQUhS12yirvfU0IXy20b3OWxN_tJA9M9oGvRhtP_gXcp_oO6tZ985R22X</recordid><startdate>20161025</startdate><enddate>20161025</enddate><creator>Zakaria, Nur Amira</creator><creator>Abdullah, Suhaida</creator><creator>Ahad, Nor Aishah</creator><creator>Yusof, Norhayati</creator><creator>Yahaya, Sharipah Soaad Syed</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20161025</creationdate><title>The performance of robust correlation coefficient under contaminated bivariate data</title><author>Zakaria, Nur Amira ; Abdullah, Suhaida ; Ahad, Nor Aishah ; Yusof, Norhayati ; Yahaya, Sharipah Soaad Syed</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p253t-d50eeb7a711f710f93e2ff95245fa8fa18e1d404737419c16d47cc61fb4387013</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Bivariate analysis</topic><topic>Correlation coefficients</topic><topic>Normal distribution</topic><topic>Robustness</topic><topic>Standard error</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zakaria, Nur Amira</creatorcontrib><creatorcontrib>Abdullah, Suhaida</creatorcontrib><creatorcontrib>Ahad, Nor Aishah</creatorcontrib><creatorcontrib>Yusof, Norhayati</creatorcontrib><creatorcontrib>Yahaya, Sharipah Soaad Syed</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zakaria, Nur Amira</au><au>Abdullah, Suhaida</au><au>Ahad, Nor Aishah</au><au>Yusof, Norhayati</au><au>Yahaya, Sharipah Soaad Syed</au><au>Zulkepli, Jafri</au><au>Ahmad, Nazihah</au><au>Jamil, Jastini</au><au>Aziz, Nazrina</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The performance of robust correlation coefficient under contaminated bivariate data</atitle><btitle>AIP conference proceedings</btitle><date>2016-10-25</date><risdate>2016</risdate><volume>1782</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>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.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/1.4966107</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0094-243X |
| ispartof | AIP conference proceedings, 2016, Vol.1782 (1) |
| issn | 0094-243X 1551-7616 |
| language | eng |
| recordid | cdi_proquest_journals_2121560883 |
| source | American Institute of Physics:Jisc Collections:Transitional Journals Agreement 2021-23 (Reading list) |
| subjects | Bivariate analysis Correlation coefficients Normal distribution Robustness Standard error Statistical analysis |
| title | The performance of robust correlation coefficient under contaminated bivariate data |
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