"improve forecast accuracy" is grammatically correct and can be used in written English.
It is commonly used in business or scientific settings when discussing ways to make predictions more accurate. Here is an example: "Our company has implemented a new algorithm to improve forecast accuracy for sales projections. This has greatly benefitted our decision-making process and helped us make more informed decisions."
We find that while connections improve forecast accuracy for analysts across the board, the effect among men is significantly higher.
The new method is based on a physical statistical approach designed to account for building heterogeneity to improve forecast accuracy.
It was noted that the persistence of subsurface droughts is in general higher than surface droughts, which can potentially improve forecast accuracy.
But Berkeley-Haas management professor Don Moore and a team of researchers found a new way to dramatically improve forecast accuracy by training ordinary people to make more confident and accurate predictions over time as superforecasters.
This model is applied to forecast the 1-month ahead streamflow of three stations in China, and the results show that the AEEMD-ANN model can improve forecast accuracy in flood seasons, but it is not as good as ANN, adaptive neuro-fuzzy inference system (ANFIS), support vector machine (SVM) and seasonal first-order autoregressive (SAR (1)) models in dry seasons.
The learning and model selection processes are gathered to improve forecast accuracy.
Properly designed shrinkage models can improve forecast accuracies from a model that uses irrelevant information.
They argued that the improvements made by leveraging in EGARCH and GJR GARCH models did not improve forecasting accuracy.
Though AI and other advanced technologies have been applied to improve forecasting accuracy, sales leaders still get blindsided by forecasts that turn out to be embarrassingly overinflated.
With so much riding on forecasts, Dr. Marks's division is about 3 years into a 10-year program to improve forecasting accuracy.
The system is developed to improve forecasting accuracy specifically on difficult days like hot, cold and special days.
