Weighting methods in the construction of area deprivation indices
This study applies and compares several weighted average (WA) methods and Principal Component Analysis (PCA) for the construction of composite area-based deprivation index. The WA methods are based on weights that depend on standard deviation, correlation and data entropy. This paper also proposes t...
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J Fundam Appl Sci.
2018
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Online Access: | http://eprints.utem.edu.my/id/eprint/24007/2/2018%201%20Weighting%20method%20deprivation.pdf http://eprints.utem.edu.my/id/eprint/24007/ https://www.pjfas.jfas.info/index.php/jfas/article/view/4704 |
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my.utem.eprints.240072023-06-06T14:55:05Z http://eprints.utem.edu.my/id/eprint/24007/ Weighting methods in the construction of area deprivation indices Fam, Soo Fen Ismail, Noriszura Jemain, Abdul Aziz Maukar, Anastasia Lidya Yanto, Heri Prastyo, Dedy Dwi Chuan, Zun Liang H Social Sciences (General) This study applies and compares several weighted average (WA) methods and Principal Component Analysis (PCA) for the construction of composite area-based deprivation index. The WA methods are based on weights that depend on standard deviation, correlation and data entropy. This paper also proposes three new approaches of WA method by suggesting their respective weights to depend on mean absolute deviation, inter-quartile range and data entropy where the probability is estimated by empirical density function and Gaussian kernel function. The deprivation indices produced by WA methods and PCA are then utilized to rank deprivation level of eighty-one administrative districts in Peninsular Malaysia. J Fundam Appl Sci. 2018-05-01 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/24007/2/2018%201%20Weighting%20method%20deprivation.pdf Fam, Soo Fen and Ismail, Noriszura and Jemain, Abdul Aziz and Maukar, Anastasia Lidya and Yanto, Heri and Prastyo, Dedy Dwi and Chuan, Zun Liang (2018) Weighting methods in the construction of area deprivation indices. Journal Of Fundamental And Applied Sciences, 10 (6S). pp. 2655-2668. ISSN 1112-9867 https://www.pjfas.jfas.info/index.php/jfas/article/view/4704 10.4314/jfas.v10i6s.201 |
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H Social Sciences (General) Fam, Soo Fen Ismail, Noriszura Jemain, Abdul Aziz Maukar, Anastasia Lidya Yanto, Heri Prastyo, Dedy Dwi Chuan, Zun Liang Weighting methods in the construction of area deprivation indices |
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This study applies and compares several weighted average (WA) methods and Principal Component Analysis (PCA) for the construction of composite area-based deprivation index. The WA methods are based on weights that depend on standard deviation, correlation and data entropy. This paper also proposes three new approaches of WA method by suggesting their respective weights to depend on mean absolute deviation, inter-quartile range and data entropy where the probability is estimated by empirical density function and Gaussian kernel function. The deprivation indices produced by WA methods and PCA are then utilized to rank deprivation level of eighty-one administrative districts in Peninsular Malaysia. |
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Article |
author |
Fam, Soo Fen Ismail, Noriszura Jemain, Abdul Aziz Maukar, Anastasia Lidya Yanto, Heri Prastyo, Dedy Dwi Chuan, Zun Liang |
author_facet |
Fam, Soo Fen Ismail, Noriszura Jemain, Abdul Aziz Maukar, Anastasia Lidya Yanto, Heri Prastyo, Dedy Dwi Chuan, Zun Liang |
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Fam, Soo Fen |
title |
Weighting methods in the construction of area deprivation indices |
title_short |
Weighting methods in the construction of area deprivation indices |
title_full |
Weighting methods in the construction of area deprivation indices |
title_fullStr |
Weighting methods in the construction of area deprivation indices |
title_full_unstemmed |
Weighting methods in the construction of area deprivation indices |
title_sort |
weighting methods in the construction of area deprivation indices |
publisher |
J Fundam Appl Sci. |
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2018 |
url |
http://eprints.utem.edu.my/id/eprint/24007/2/2018%201%20Weighting%20method%20deprivation.pdf http://eprints.utem.edu.my/id/eprint/24007/ https://www.pjfas.jfas.info/index.php/jfas/article/view/4704 |
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