The phrase "forecasting prediction" is correct and usable in written English.
You can use the phrase when you want to describe the process of predicting future events using data analysis. For example: "The marketing department used forecasting prediction to estimate how many products they would sell next quarter."
Before 1970, Hongfu Chu engaged in research regarding two main areas: (i) insect larvae, life history, and biology, and (ii) forecasting, prediction and control of pests.
During most of his life, Hongfu Chu worked mostly on important agricultural pests, especially cotton pests, and studied the identification, forecasting, prediction and control of said pests.
Most groundwater models are developed for forecasting (prediction), but models may also reconstruct past conditions in hindcasting simulations and perform engineering calculations.
Forecasting prediction error obtained from SPCA equals 0.6% of the sum of squares of the whole data matrix.
Therefore, we need to be more aware of the estimated noise level in the data if we want to use SPCA forecasting prediction error as an invalidation measure.
Drawing on prior research on affective forecasting, predictions are hypothesized to be driven by an anchoring-and-adjustment process that skews forecasts toward the attractiveness of fragments when judged in isolation.
Despite improvements in track forecasting, predictions of the intensity of a tropical cyclone based on numerical weather prediction continue to be a challenge, since statiscal methods continue to show higher skill over dynamical guidance.
There has also been research showing that Arctic sea ice can lead to more extreme weather in portions of the Northern Hemisphere by altering the flow of the upper atmosphere jet stream winds, but the Climate Prediction Center does not yet take that into account when making seasonal forecasting predictions.
The forecast (prediction) of the field is driven forwards by the summation of (1) the field coefficients and (2) the monthly SV coefficients from the flow model.
Another unique advantage of the newly proposed model is its ability to generate, in addition to the normal target forecast, prediction intervals without extra computational cost.
To the extent that market prices can be interpreted as collective forecast, prediction markets disseminate, or broadcast, information.
