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Satellite-based (e.g., Synthetic Aperture Radar [SAR]) water level observations (WLOs) of the floodplain can be sequentially assimilated into a hydrodynamic model to decrease forecast uncertainty.
In September the European Commission dampened hopes of an immediate recovery by announcing that it expected a 5% drop in Italy's 2009 GDP rather than the 4.4% decrease forecast earlier in the year.
Satellite-based Synthetic Aperture Radar (SAR) has proved useful for obtaining information on flood extent, which, when intersected with a Digital Elevation Model (DEM) of the floodplain, provides water level observations that can be assimilated into a hydrodynamic model to decrease forecast uncertainty.
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Spurious regression may be observed while using an MLR model without testing the stationarity of the series, thus decreasing forecast precision.
Targeting measurements based on the decrease in forecast error variance was shown to be more efficient than a systematic sampling method.
We believe that it is preferable to use the exogenous variables to decrease the forecast errors.
One point to be taken into consideration is the fact that regime changes caused by many economic factors decrease the forecast capabilities of the single-regime models drastically.
Based on the above estimates, and our adjustments to operating expenses, we have decreased our forecast for the company's interest expense to $20 million from the previous estimate of $50 million.
If the regularity shows a decrease of forecasting power output of a WF, the scheduled power output should not be increased.
It is obvious that the noisy data and outliers will cause a bad training process and, as its consequence, it will decrease the forecasting performance.
The largest decreases are forecast for the United States, the EU and several CIS countries, partly due to lower production and partly because of large supplies of feed wheat.
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