%0 Journal Article
%T A Procedure for Detecting a Pair of Outliers in Multivariate Dataset
%A B. K. Nkansah
%A B. K. Gordor
%J Studies in Mathematical Sciences
%D 2012
%I 
%R 10.3968/2517
%X The paper presents a procedure for detecting a pair of outliers in multivariate data. The procedure involves a reduction of the dimensionality of the dataset to only two dimensions along outlier displaying components, and then determines the orientation of a least squares ellipse that fits the scatter of points of the two dimensional dataset. Finally, the reduced data is projected unto a vector which is determined in terms of the orientation of the ellipse. The results show that if two observations constitute a pair of outliers in a data set, then the pair is extreme at either ends of the one-dimensional projection and separated clearly from the remaining observations. If the two outliers are not distinct on such a one-dimensional projection, three key rules are prescribed for successful determination of the right pair of outliers. Key words: Multiple Outlier Detection; Outlier Displaying Component
%K Multiple Outlier Detection
%K Outlier Displaying Component
%U http://cscanada.net/index.php/sms/article/view/2517