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Introduction ARIMA uses regression analysis, the purpose of which is to predict future points. Lags of the Stationary Series in the forecasting equation are defined as “autoregressive” (AR) terms. Lags within the Forecast Series are called “moving...
Time Series modelling is a fascinating area with practical relevance and impact. Time Series techniques work on numerical data collected over a considerable period of time. It is further used to generate future values of the series (termed as forecas...