A comparison of various imputation methods for missing values in air quality data

This paper presents various imputation methods for air quality data specifically in Malaysia. The main objective was to select the best method of imputation and to compare whether there was any difference in the methods used between stations in Peninsular Malaysia. Missing data for various cases are...

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Main Authors:	Nuryazmin Ahmat Zainuri, Abdul Aziz Jemain, Nora Muda
Format:	Article
Language:	English
Published:	Universiti Kebangsaan Malaysia 2015
Online Access:	http://journalarticle.ukm.my/8488/ http://journalarticle.ukm.my/8488/ http://journalarticle.ukm.my/8488/1/17_NuryAzmin.pdf

id	ukm-8488
recordtype	eprints
spelling	ukm-84882016-12-14T06:47:19Z http://journalarticle.ukm.my/8488/ A comparison of various imputation methods for missing values in air quality data Nuryazmin Ahmat Zainuri, Abdul Aziz Jemain, Nora Muda, This paper presents various imputation methods for air quality data specifically in Malaysia. The main objective was to select the best method of imputation and to compare whether there was any difference in the methods used between stations in Peninsular Malaysia. Missing data for various cases are randomly simulated with 5, 10, 15, 20, 25 and 30% missing. Six methods used in this paper were mean and median substitution, expectation-maximization (EM) method, singular value decomposition (SVD), K-nearest neighbour (KNN) method and sequential K-nearest neighbour (SKNN) method. The performance of the imputations is compared using the performance indicator: The correlation coefficient (R), the index of agreement (d) and the mean absolute error (MAE). Based on the result obtained, it can be concluded that EM, KNN and SKNN are the three best methods. The same result are obtained for all the eight monitoring station used in this study. Universiti Kebangsaan Malaysia 2015-03 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/8488/1/17_NuryAzmin.pdf Nuryazmin Ahmat Zainuri, and Abdul Aziz Jemain, and Nora Muda, (2015) A comparison of various imputation methods for missing values in air quality data. Sains Malaysiana, 44 (3). pp. 449-456. ISSN 0126-6039 http://www.ukm.my/jsm/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	This paper presents various imputation methods for air quality data specifically in Malaysia. The main objective was to select the best method of imputation and to compare whether there was any difference in the methods used between stations in Peninsular Malaysia. Missing data for various cases are randomly simulated with 5, 10, 15, 20, 25 and 30% missing. Six methods used in this paper were mean and median substitution, expectation-maximization (EM) method, singular value decomposition (SVD), K-nearest neighbour (KNN) method and sequential K-nearest neighbour (SKNN) method. The performance of the imputations is compared using the performance indicator: The correlation coefficient (R), the index of agreement (d) and the mean absolute error (MAE). Based on the result obtained, it can be concluded that EM, KNN and SKNN are the three best methods. The same result are obtained for all the eight monitoring station used in this study.
format	Article
author	Nuryazmin Ahmat Zainuri, Abdul Aziz Jemain, Nora Muda,
spellingShingle	Nuryazmin Ahmat Zainuri, Abdul Aziz Jemain, Nora Muda, A comparison of various imputation methods for missing values in air quality data
author_facet	Nuryazmin Ahmat Zainuri, Abdul Aziz Jemain, Nora Muda,
author_sort	Nuryazmin Ahmat Zainuri,
title	A comparison of various imputation methods for missing values in air quality data
title_short	A comparison of various imputation methods for missing values in air quality data
title_full	A comparison of various imputation methods for missing values in air quality data
title_fullStr	A comparison of various imputation methods for missing values in air quality data
title_full_unstemmed	A comparison of various imputation methods for missing values in air quality data
title_sort	comparison of various imputation methods for missing values in air quality data
publisher	Universiti Kebangsaan Malaysia
publishDate	2015
url	http://journalarticle.ukm.my/8488/ http://journalarticle.ukm.my/8488/ http://journalarticle.ukm.my/8488/1/17_NuryAzmin.pdf
first_indexed	2023-09-18T19:52:25Z
last_indexed	2023-09-18T19:52:25Z
_version_	1777406308226433024

A comparison of various imputation methods for missing values in air quality data

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