Detection of outliers in the unreplicated linear circular functional relationship model via functional form

Hussin, A.G. and Abu Zaid, A. and Mohamed, I. (2009) Detection of outliers in the unreplicated linear circular functional relationship model via functional form. In: International Conference on Nonparametric Methods for Measurement Error Models and Related Topics, 3-5 Mei 2009, Ottawa, Canada. (Submitted)

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Abstract

In this paper we consider the problem of outliers for the functional relationship model of circular variables by transforming the circular data to continuous or real line data set via complex form. The COVRATIO statistic is extended from the linear regression models to the proposed model to detect any possible outliers. The cut-off points are obtained and the power of performance is examined by simulation studies. The model is illustrated with an application to the analysis of wind direction data recorded by two different techniques and the detection procedure of outliers is implied.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science
Depositing User: Mr. Mohd Samsul Ismail
Date Deposited: 01 May 2014 23:13
Last Modified: 19 Dec 2014 03:22
URI: http://eprints.um.edu.my/id/eprint/9459

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