Detection of outliers in BL(1,1,1,1) Models using Least Squares Method

Detection of outliers in BL(1,1,1,1) Models using Least Squares Method

0.00 Avg rating0 Votes
Article ID: iaor20118396
Volume: 2
Issue: 2
Start Page Number: 92
End Page Number: 92
Publication Date: Jul 2006
Journal: Pakistan Journal of Statistics and Operation Research
Authors: , , ,
Keywords: time series: forecasting methods
Abstract:

In the literature, various nonlinear time series data was shown to exist. As a result, studies on nonlinear models have been carried out. One of them is bilinear model. Further, there is a possibility that outliers may exist in the data. In this article, the possibility of an outlier appear in a special case of bilinear model, BL(1,1,1,1) is investigated. An outlier detection procedure is proposed.

Reviews

Required fields are marked *. Your email address will not be published.