Sentence examples for forecasting to evaluate from inspiring English sources

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Jo and Han 1996 integrated the statistical model, discriminant analysis and two artificial intelligence models including neural network and case-based forecasting to evaluate corporate credit risk.

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The study includes an examination of the morphology of design and the development of a systems-thinking integrated forecasting model to evaluate the implications of CAD tools in design and sustainability.

But the Imperial Irrigation District, an electric utility in the Imperial Valley east of San Diego, issued analyses that showed weather, load and generation forecasts but failed to evaluate the underlying power flows, the report said.

The FiveThirtyEight forecast model, trying to evaluate all of this information as objectively as it can, sees substantial momentum for Mr. Gingrich in South Carolina, giving him at least as strong a tailwind as Rick Santorum had in the closing days of the campaign in Iowa.

Then, employment is predicted over two quarters and the difference between the actual values and the forecasts are used to evaluate the impact of the wage subsidy.

A notice in Diabetes Forecast inviting participants to evaluate BG AThome.com resulted in 210 individuals completing an online screening in 10 days.

In the track precipitation forecasting practice, the naïve model was used to evaluate the forecasting performance of the seasonal and global models; in the cross-validation precipitation forecasting practice, the time model was used to compare and evaluate the forecasting performance of the seasonal and global models.

To provide this early warning, a statistics-based flood forecasting model was developed to evaluate the flooding potential in urban areas using ensemble quantitative precipitation forecasts (the Taiwan Cooperative Precipitation Ensemble Forecast Experiment, TAPEX).

To tackle this issue, we propose a new measure, CAFE (Cumulative Absolute Forecast Error), to evaluate forecasting methods in terms of total cost.

Evolutionary algorithms have been widely applied in parameter estimation and it appears natural that its application in DA be compared to standard methods, particularly, to evaluate forecasting performance of these methods.

Eight evaluation criteria were applied to evaluate the forecasting accuracy of seasonal precipitation.

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