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...

Full description

Bibliographic Details
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/4865/1/15%2520Adzhar.pdf
_version_ 1825725431869865984
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,
collection UKM
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.
first_indexed 2024-03-06T03:55:21Z
format Article
id ukm.eprints-4865
institution Universiti Kebangsaan Malaysia
language English
last_indexed 2024-03-06T03:55:21Z
publishDate 2012
publisher Universiti Kebangsaan Malaysia
record_format dspace
spelling ukm.eprints-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
work_keys_str_mv AT adzharrambli ondiscordancetestforthewrappednormaldata
AT ibrahimmohamed ondiscordancetestforthewrappednormaldata
AT abdulghaporhussin ondiscordancetestforthewrappednormaldata
AT safwatiibrahim ondiscordancetestforthewrappednormaldata