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:en
Published: Universiti Kebangsaan Malaysia 2012
Online Access:http://journalarticle.ukm.my/4865/1/15%2520Adzhar.pdf
http://journalarticle.ukm.my/4865/
http://www.ukm.my/jsm/contents.html
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author Adzhar Rambli,
Ibrahim Mohamed,
Abdul Ghapor Hussin,
Safwati Ibrahim,
author_facet Adzhar Rambli,
Ibrahim Mohamed,
Abdul Ghapor Hussin,
Safwati Ibrahim,
author_sort Adzhar Rambli,
building Tun Sri Lanang Library
collection Institutional Repository
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
continent Asia
country Malaysia
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
id my-ukm.journal-4865
institution Universiti Kebangsaan Malaysia
language en
publishDate 2012
publisher Universiti Kebangsaan Malaysia
record_format eprints
spelling my-ukm.journal-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
spellingShingle Adzhar Rambli,
Ibrahim Mohamed,
Abdul Ghapor Hussin,
Safwati Ibrahim,
On discordance test for the wrapped normal data
title 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_short On discordance test for the wrapped normal data
title_sort on discordance test for the wrapped normal data
url http://journalarticle.ukm.my/4865/1/15%2520Adzhar.pdf
http://journalarticle.ukm.my/4865/
http://www.ukm.my/jsm/contents.html
url_provider http://journalarticle.ukm.my/