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A time series model that has been named after the developers of this model. It is a part of the time series models that assume that the sales of a company depend on previous values of the same series. For example, the sales of a company depend on the sales of one period before (lag of one period), two periods before (lag of two periods), and so on. It is also called ARIMA model.