Seasonal adjustment and trend-cycle estimation

October 2005
Retail Trade;Oct2005, Vol. 77 Issue 10, p81
Trade Publication
The article focuses on the seasonal adjustment and trend-cycle estimation in retail trade data. Retail trade data are supposed to be precise and accurate and hence revisions in the data are necessary. The objective of seasonal adjustment is to rectify any potential error that may arise due to incorrect or appropriate data. One model which is used to do seasonal adjustment in the retail trade data is the X11ARIMA/2000 model. The model includes raw data with the auto-regressive integrated moving average model.


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