Sentence examples for forecast effectiveness from inspiring English sources

The phrase 'forecast effectiveness' is correct and can be used in written English.
For example, you might use it in a sentence such as, "The team leader conducted a review of forecast effectiveness to compare actual results to projections."

Exact(2)

Silver, a full-time Baseball Prospectus writer (when he is not playing professional poker), designed a sophisticated variance algorithm that has examined every big-league pitcher's statistics since 1946 to determine which numbers best forecast effectiveness, specifically earned run average.

Apart from the literature, this work extends previous methods to propose a Switching forecast model to increase forecast effectiveness.

Similar(58)

We study the conditions that influence judgmental forecasting effectiveness when predicting demand in the context of fashion products.

This study proves that early warning systems should not be considered as a static product: the rainfall thresholds should be regularly updated, the measuring network should be maintained, and the dismissal of oldest sensors should be carefully evaluated as their long time series improve the forecasting effectiveness or warning systems.

That we could forecast relationship effects for teaching effectiveness is consistent with the research on forecasting relational perceived support.

Due to the forecast error, the effectiveness of unit commitment lessens.

Comparative forecasts of intervention effectiveness are typically based on differences in outcome as measured by, e.g. disease reproduction rates, epidemic curves with daily new cases (attack rates per geographic region), and burden of illness in different vocational groups.

Our study allows insights to be gained on potential improvements to intermittent demand forecasting processes and, subsequently, the design effectiveness of forecasting support systems.

In the contingent perspective, the effectiveness of forecasting practices depends on the specific kind of context each company faces.

Assuming that the confidence of wind power forecasting is 60%%, the effectiveness of the proposed method is analyzed by comparing power shortage ratios of different WFs.

Numerical Weather Prediction (NWP) tools such as Yearly Auto-Regressive (YAR) models when deployed for medium-term wind speed forecasting have proved their effectiveness.

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