Trend analysis and forecasting the spread of COVID-19
(1) . Therefore, only q errors will affect the existing level, but higher order errors do not affect . This indicates that it is a short memory model. Auto-Regression (AR) p, an AR ( (2) The model is described in terms of past values and therefore we would like to estimate the coefficients , and use the model for forecasting. All previous values will have cumulative effects on the existing level, which is a long-run memory model. Autoregressive Integrated Moving Average (ARIMA) Process AR...
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