Sentence examples for forecasting change from inspiring English sources

"forecasting change" is correct and usable in written English.
You can use it to refer to predicting likely future changes or trends. For example, "Marketing experts are forecasting major changes in consumer habits over the next ten years."

Exact(1)

Such prospective studies offer the potential of describing intra- and inter-individual changes, investigating mechanisms to explain these changes, and forecasting change or outcome [ 21, 22].

Similar(59)

Because the poll is only 10 months old, it does not have a long track record of correctly forecasting changes.

So did Mr. Mankiw, though he acknowledged that forecasting changes in what economists call "animal spirits" is art as well as science.

Computer models currently do well in forecasting the path of tropical cyclones, but they are not as reliable in forecasting changes in intensity more than 24 hours in advance.

The Second Curve of Your Career--Where Will It Take You? Ian Morrison, president of the Institute for the Future, wrote a business book on forecasting change The Second Curve--that was popular in the late 1990s.

Forecasting Changes If you're trying to forecast interest rate changes on adjustable rate mortgages, look at the shape of the yield curve.

Chemistry-transport models are increasingly used in Europe for estimating air quality or forecasting changes in pollution levels.

It focuses on forecasting changes in biodiversity and biodiversity-driven ecosystem services under alternative land uses, demographics, and climate scenarios.

Forecasting changes in urban ecological security could be important for the maintenance or improvement of the urban ecological environment.

Identifying areas at risk and forecasting changes in forest carbon following disease outbreak requires an understanding of the geographical distribution of host populations, which is unknown.

We develop and apply a Monte Carlo approach that describes ensemble statistics for several dozen urban areas rather than forecasting changes in individual urban areas.

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