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Description: In the current statistical forecast, there is a differential effect of non-stationary sequence analysis, multi-step prediction error, lack of system software implementation. For this kind of problem, NARIMA method, the ARIMA model, the effective combination of a smooth run-length test, the differential steady approach, the linear minimum variance prediction algorithm to solve the traditional statistical forecasting methods exist the above problems
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ARIMA model algorithm.nh
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