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:: Volume 22, Issue 2 (3-2012) ::
مجله‌ی بررسی‌ها 2012, 22(2): 159-172 Back to browse issues page
Forecasting Accumulated Short Time Series with Regression Method Based on Partial Accumulations
Soodabeh Feizbakhsh Koofali *, Sahar Radmehr Seyedeh, Reza Salehi Rad Mohammad
Abstract:   (2302 Views)

In this paper, the problem of forecasting a time series with only a small amount of data is addressed within a regression method. The procedure works well when standard methods cannot be applied due to the reduced number of observations. The quantity to be predicted is the accumulated value of a positive and continuous variable for which partially accumulated data are available. A very simple model is proposed to describe the relationship between the partial and total values of the variable to be forecasted under the assumption of stable seasonality. These conditions appear in a natural way in the prediction of seasonal sales of style goods, such as toys or banking deposits, among many other examples.

Keywords: Partial accumulation, regression method, Prediction, time series stable seasonal pattern
Full-Text [PDF 269 kb]   (1406 Downloads)    
Type of Study: Research | Subject: General
Received: 2012/04/2 | Accepted: 2012/11/13 | Published: 2015/12/30
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Feizbakhsh Koofali S, Radmehr S, Salehi Rad R. Forecasting Accumulated Short Time Series with Regression Method Based on Partial Accumulations. مجله‌ی بررسی‌ها. 2012; 22 (2) :159-172
URL: http://ijoss.srtc.ac.ir/article-1-59-en.html


Volume 22, Issue 2 (3-2012) Back to browse issues page
مجله‌ی بررسی‌های آمار رسمی ایران (علمی - ترویجی) Ijoss Iranian Journal of Official Statistics Studies
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