Abstract
The accuracy of statistical measurement rely on the nature of the data. Sometime one outlier can have an important effect on work with estimations therefore, the results would be inaccuracy. Time series methods also effected by outliers with some different from forecasting method to another. In this paper, we have consternated on two forecasting methods (Box jnkense and furrier).
We have taken two models (fix seasonal model and multiplicative seasonal model). Then, The results of these methods are compared in three stages when the proportion of outliers (0%, 5%, and 10%). We conclude some conclusions as offered in this paper.
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