Examples of Forecast Accuracy in a sentence
Once a CCR-Generated Forecast is validated, or adjusted and submitted to CCR, or if Bottler fails to validate or adjust and submit such forecast within the time periods set forth in this paragraph, such CCR-Generated Forecast will be deemed to be the Rolling Forecast under this Section 6 and will be the forecast on which Bottler Forecast Accuracy is calculated under Section 11.
If the Rolling Forecast is not received by CCR by such time, then the last forecast provided by Bottler will apply, Bottler will not have the right to adjust or validate such forecast, and such forecast will be deemed the Rolling Forecast under this Section 6 and will be the forecast on which Bottler Forecast Accuracy is calculated under Section 11.
Demand Forecast Accuracy Performance by Service Source: Rigoni& Souza (2016) 15Figure 5.
Forecast Accuracy for Selected U.S. Economy Variables Forecasting the future of the economy is difficult, not only because of the issues discussed above, but also because of noneconomic shocks, i.e., unpredictable events such as the September 11, 2001, attacks on the World Trade Center or Superstorm Sandy, which made landfall on October 29, 2012, or the onset of the COVID-19 pandemic.
This will highlight any need for improvement of data, assumption, or methodologies, which will be outlined in a forecast improvement plan, as explained further in Section 4.2.AEMO will develop and consult on a Forecast Accuracy Methodology Paper during 2020 to supplement the methodology papers listed in Figure 3.
If the Parties agree to a Rolling Forecast as part of Section 6(a), then Forecast Accuracy will be measured.
Forecast Accuracy (Bias) of IPO SampleSample N Average Forecast Accuracy (Bias) All forecasters960.4905 (0.2665)Optimistic forecasters630.5406 (0.5406)Conservative forecasters330.3919 (-0.3919) Table 2 above shows that 64 forecasters are optimistic (forecasters whose earnings forecasters cannot be achieved at the end of IPO year with average forecast upward bias 54.06%.
Forecast Accuracy for NYS Employment and Wages The main data source available for the NYS model is the QCEW data obtained from the NYS Department of Labor (DOL).
Each of the forecasts set out below is based on publicly-available data and is subject to GIG’s assessment of Green Impact Forecast Accuracy (as set out on page 4).
Figure 2 Risk Level of Forecast Accuracy Required Level of Investment Risk Product Productdevelopment Time launch When producing strategic forecasts, understanding the level of uncertainty is critical.