A new discordancy test on a regression for cylindrical data

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


Official URL: http://www.ukm.my/jsm/english_journals/vol47num6_2...


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.

Item Type:Article
Keywords:Bulatan-linear; Data silinder; Jarak jiran k-terdekat; Nilai tersisih
Journal:Sains Malaysiana
ID Code:12138
Deposited By: ms aida -
Deposited On:25 Sep 2018 01:26
Last Modified:28 Sep 2018 22:44

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