On discordance test for the wrapped normal data

This paper focuses on detecting outliers in the circular data which follow the wrapped normal distribution. We considered four discordance tests based on M, C, D and A statistics. The cut-off points of the four tests were obtained and the performance of the detection procedures was studied via simul...

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Main Authors:	Adzhar Rambli, Ibrahim Mohamed, Abdul Ghapor Hussin, Safwati Ibrahim
Format:	Article
Language:	English
Published:	Universiti Kebangsaan Malaysia 2012
Online Access:	http://journalarticle.ukm.my/4865/ http://journalarticle.ukm.my/4865/ http://journalarticle.ukm.my/4865/1/15%2520Adzhar.pdf

id	ukm-4865
recordtype	eprints
spelling	ukm-48652016-12-14T06:37:09Z http://journalarticle.ukm.my/4865/ On discordance test for the wrapped normal data Adzhar Rambli, Ibrahim Mohamed, Abdul Ghapor Hussin, Safwati Ibrahim, This paper focuses on detecting outliers in the circular data which follow the wrapped normal distribution. We considered four discordance tests based on M, C, D and A statistics. The cut-off points of the four tests were obtained and the performance of the detection procedures was studied via simulations. In general, we showed that the discordance test based on the A statistic outperforms the other tests in all cases. For illustration, the city of Kuantan wind direction data set was considered. Universiti Kebangsaan Malaysia 2012-06 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/4865/1/15%2520Adzhar.pdf Adzhar Rambli, and Ibrahim Mohamed, and Abdul Ghapor Hussin, and Safwati Ibrahim, (2012) On discordance test for the wrapped normal data. Sains Malaysiana, 41 (6). pp. 769-778. ISSN 0126-6039 http://www.ukm.my/jsm/contents.html
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	This paper focuses on detecting outliers in the circular data which follow the wrapped normal distribution. We considered four discordance tests based on M, C, D and A statistics. The cut-off points of the four tests were obtained and the performance of the detection procedures was studied via simulations. In general, we showed that the discordance test based on the A statistic outperforms the other tests in all cases. For illustration, the city of Kuantan wind direction data set was considered.
format	Article
author	Adzhar Rambli, Ibrahim Mohamed, Abdul Ghapor Hussin, Safwati Ibrahim,
spellingShingle	Adzhar Rambli, Ibrahim Mohamed, Abdul Ghapor Hussin, Safwati Ibrahim, On discordance test for the wrapped normal data
author_facet	Adzhar Rambli, Ibrahim Mohamed, Abdul Ghapor Hussin, Safwati Ibrahim,
author_sort	Adzhar Rambli,
title	On discordance test for the wrapped normal data
title_short	On discordance test for the wrapped normal data
title_full	On discordance test for the wrapped normal data
title_fullStr	On discordance test for the wrapped normal data
title_full_unstemmed	On discordance test for the wrapped normal data
title_sort	on discordance test for the wrapped normal data
publisher	Universiti Kebangsaan Malaysia
publishDate	2012
url	http://journalarticle.ukm.my/4865/ http://journalarticle.ukm.my/4865/ http://journalarticle.ukm.my/4865/1/15%2520Adzhar.pdf
first_indexed	2023-09-18T19:42:44Z
last_indexed	2023-09-18T19:42:44Z
_version_	1777405698551840768

On discordance test for the wrapped normal data

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