A new discordancy test on a regression for cylindrical data
A cylindrical data set consists of circular and linear variables. We focus on developing an outlier detection procedure for cylindrical regression model proposed by Johnson and Wehrly (1978) based on the k-nearest neighbour approach. The procedure is applied based on the residuals where the distance...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2018
|
| Online Access: | http://journalarticle.ukm.my/12138/ http://journalarticle.ukm.my/12138/1/29%20Nurul%20Hidayah%20Sadikon.pdf |
| _version_ | 1848812919483006976 |
|---|---|
| author | Nurul Hidayah Sadikon, Adriana Irawati Nur Ibrahim, Ibrahim Mohamed, Dharini Pathmanathan, |
| author_facet | Nurul Hidayah Sadikon, Adriana Irawati Nur Ibrahim, Ibrahim Mohamed, Dharini Pathmanathan, |
| author_sort | Nurul Hidayah Sadikon, |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | A cylindrical data set consists of circular and linear variables. We focus on developing an outlier detection procedure for cylindrical regression model proposed by Johnson and Wehrly (1978) based on the k-nearest neighbour approach. The procedure is applied based on the residuals where the distance between two residuals is measured by the Euclidean distance. This procedure can be used to detect single or multiple outliers. Cut-off points of the test statistic are generated and its performance is then evaluated via simulation. For illustration, we apply the test on the wind data set obtained from the Malaysian Meteorological Department. |
| first_indexed | 2025-11-15T00:09:57Z |
| format | Article |
| id | oai:generic.eprints.org:12138 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:09:57Z |
| publishDate | 2018 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:121382018-09-28T22:44:23Z http://journalarticle.ukm.my/12138/ A new discordancy test on a regression for cylindrical data Nurul Hidayah Sadikon, Adriana Irawati Nur Ibrahim, Ibrahim Mohamed, Dharini Pathmanathan, A cylindrical data set consists of circular and linear variables. We focus on developing an outlier detection procedure for cylindrical regression model proposed by Johnson and Wehrly (1978) based on the k-nearest neighbour approach. The procedure is applied based on the residuals where the distance between two residuals is measured by the Euclidean distance. This procedure can be used to detect single or multiple outliers. Cut-off points of the test statistic are generated and its performance is then evaluated via simulation. For illustration, we apply the test on the wind data set obtained from the Malaysian Meteorological Department. Penerbit Universiti Kebangsaan Malaysia 2018-06 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/12138/1/29%20Nurul%20Hidayah%20Sadikon.pdf Nurul Hidayah Sadikon, and Adriana Irawati Nur Ibrahim, and Ibrahim Mohamed, and Dharini Pathmanathan, (2018) A new discordancy test on a regression for cylindrical data. Sains Malaysiana, 47 (6). pp. 1319-1326. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol47num6_2018/contentsVol47num6_2018.html |
| spellingShingle | Nurul Hidayah Sadikon, Adriana Irawati Nur Ibrahim, Ibrahim Mohamed, Dharini Pathmanathan, A new discordancy test on a regression for cylindrical data |
| title | A new discordancy test on a regression for cylindrical data |
| title_full | A new discordancy test on a regression for cylindrical data |
| title_fullStr | A new discordancy test on a regression for cylindrical data |
| title_full_unstemmed | A new discordancy test on a regression for cylindrical data |
| title_short | A new discordancy test on a regression for cylindrical data |
| title_sort | new discordancy test on a regression for cylindrical data |
| url | http://journalarticle.ukm.my/12138/ http://journalarticle.ukm.my/12138/ http://journalarticle.ukm.my/12138/1/29%20Nurul%20Hidayah%20Sadikon.pdf |