Outlier detection in a circular regression model

Adzhar Rambli, and Rossita Mohamad Yunus, and Ibrahim Mohamed, and Abdul Ghapor Hussin, (2015) Outlier detection in a circular regression model. Sains Malaysiana, 44 (7). pp. 1027-1032. ISSN 0126-6039


Official URL: http://www.ukm.my/jsm/malay_journals/jilid44bil7_2...


Recently, there is strong interest on the subject of outlier problem in circular data. In this paper, we focus on detecting outliers in a circular regression model proposed by Down and Mardia. The basic properties of the model are available including the exact form of covariance matrix of the parameters. Hence, we intend to identify outliers in the model by looking at the effect of the outliers on the covariance matrix. The method resembles closely the COVRATIO statistic for the case of linear regression problem. The corresponding critical values and the performance of the outlier detection procedure are studied via simulations. For illustration, we apply the procedure on the wind data set.

Item Type:Article
Keywords:Circular; circular regression; COVRATIO; influential observation; outlier
Journal:Sains Malaysiana
ID Code:8988
Deposited By: ms aida -
Deposited On:08 Sep 2015 14:00
Last Modified:14 Dec 2016 06:48

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