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Greuell, W. Hintereisferner, Austria: mass-balance reconstruction and numerical modelling of the historical length variations.
"Unemployment benefits are already at a historical length of 99 weeks, and the President's request would push benefits to three years".
"Based on the historical length of economic expansions, it is likely that a significant economic slowdown or recession will occur prior to 2020," the report said.
(The version of the statement on Bachmann's website is better. It says, "Unemployment benefits are already at a historical length of 99 weeks, and the President's request will cost another $56 billion").. Sen. John Barrasso (R-Wyo).
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And historical data length has no prominent influence on ARIMA model rebuild times.
Larger historical data length implies more precise prediction model, which will result in higher prediction accuracy.
However, larger historical data length implies more computation cycles and memory usage.
The influence of error threshold and historical data length on MSE, MAE, and MAPE are shown in Figures 11, 12, and 13, respectively.
Hence, we should adopt small error threshold and large historical data length in order to improve the prediction accuracy of our proposed scheme.
Figure 10 demonstrates the influence of error threshold and historical data length on ARIMA model rebuild times in an overall view.
We can see from the figures that prediction accuracy decreases with the increase of the predefined error threshold and increases with the increase of historical data length.
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