| Article ID: | iaor20118383 |
| Volume: | 3 |
| Issue: | 1 |
| Start Page Number: | 69 |
| End Page Number: | 69 |
| Publication Date: | Jan 2007 |
| Journal: | Pakistan Journal of Statistics and Operation Research |
| Authors: | Mohamed Ibrahim, Zaharim Azami, Ahmad Ibrahim, Yahaya Mohd Sahar |
| Keywords: | statistical outliers, least squares |
A single outlier detection procedure for data generated from BL(1,1,1,1) models is developed. It is carried out in three stages. Firstly, the measure of impact of an IO and AO denoted by IO ω , AO ω , respectively are derived based on least squares method. Secondly, test statistics and test criteria are defined for classifying an observation as an outlier of its respective type. Finally, a general single outlier detection procedure is presented to distinguish a particular type of outlier at a time point t.