Sentence examples for assuming the forecasting from inspiring English sources

Exact(1)

Assuming the forecasting data holds, Americans may soon face choosing between billionaire businessman, Donald Trump, and former Secretary of State, Hillary Clinton for their next President.

Similar(59)

By next year, assuming the forecast premium increases, 64.5% of the rating areas will be at over 200% of parity and 31.7% of rating areas will be at over 250% of parity.

Assuming the forecast spring wheat area materializes, even if normal conditions prevail for the rest of the growing season, wheat output in the United States is forecast to fall to about 59 million tonnes, compared to some 69 million tonnes in 1998.

Assuming the IMF forecast is reached, growth would still be a third of the predicted U.S. rate (3.6percentt).

The flocks of birds that could pass through the city in a few days, assuming the weather forecast holds, make up only a small slice of the fall bird migration through the New York City area.

(In general a 95% confidence interval for a one-period-ahead forecast is roughly equal to the point forecast plus-or-minus-two times the estimated standard deviation of the forecast errors, assuming the error distribution is approximately normal and the sample size is large enough, say, 20 or more.

If Petronaus breaks ground on Lelu Island, some 600 miles north of Vancouver, the development would create thousands of jobs in construction and is forecasted assuming the price of gas prices rebounds — to create many more along will billions in revenue and taxes over the next decade.

Why always assume that the forecast of cold will be right?

Let's assume that the forecast is based on an Internet search, certain calculations and more.

Model I assumes that the forecast model uncertainties and the assimilated field model uncertainties are set to be approximately similar in magnitude.

Alho (1998) compared prediction intervals for the total fertility rate (TFR) in Finland obtained by means of an ARIMA (1,1,0) model with those that result from the errors of so-called naïve forecasts (i.e. forecasts that assume the current TFR level is a reasonable forecast of the future TFR).

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