Sentence examples for affect the prediction of from inspiring English sources

The phrase "affect the prediction of" is correct and usable in written English.
It can be used when discussing factors that influence or change the outcome of a prediction in various contexts, such as statistics, science, or forecasting.
Example: "Several variables can affect the prediction of future sales trends, including market conditions and consumer behavior."
Alternatives: "influence the forecast of" or "impact the estimation of".

Exact(25)

Besides, the numerical diffusion associated due to truncation of higher order terms can affect the prediction of flow instabilities.

Comparisons showed that assuming one-step kinetics and homogeneous vertical density profile can clearly affect the prediction of ignition delay time.

In the design condition with up to 2° of spanwise-averaged incidence, the method does not significantly affect the prediction of overall performance.

The second objective was to analyze in detail the different factors that could affect the prediction of the developed NIR calibration models.

The purpose of this paper is to provide a review of the different ways that Kd values are measured, and demonstrate how the analytical differences may affect the prediction of the fate and transport of antibiotics in the environment.

The optimal number of daily strain data for derivation of the standard daily stress spectrum is determined by examining the predominant factors which affect the prediction of fatigue life.

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Similar(35)

To determine how reasonable errors in some of these values affect the predictions of the model, we applied sensitivity analysis.

How the actual physical realization of such circuits can affect the predictions of this idealization will be discussed briefly.

How would this affect the predictions of the classifier?

Additional studies will also be required to understand how sequence sample- and population-sizes affect the predictions of tolerated and non-tolerated amino acid replacements.

This means that the uncertainty that arises, for example, in estimating the location of a pole in the basic model will propagate through and affect the predictions of the shape-based model.

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