Sentence examples for forecast whether from inspiring English sources

Last year, Bueno de Mesquita decided to forecast whether Iran would build a nuclear bomb.

They were designed to forecast whether the incumbent or challenging party will prevail in the popular vote, regardless of the margin of victory.

In early 1993, a corporate client asked him to forecast whether the Clinton administration's health care plan would pass, and he said it would.

The Sifma filing argues the certifications being contemplated now would go much further, because company chief executives are not required to forecast whether the company will be able to meet its obligations, and there is no way they can forecast whether a large number of mortgages will default in some future recession.

Given the variability of the winter wind in the western Mediterranean, it is difficult to forecast whether the breezes will be consistent enough along such a long course to allow the race to take place.

This light was used to track the submarine and destroy it.Specifically, America's navy wants to be able to forecast whether a vessel in a particular location might cause a bioluminescent glow that would give away its position, says Dr Widder.

So far, many of these forecasts, whether computer-crunched numbers or seat-of-the-pants guesstimates, have turned out to be wrong.

This tree-based approach to hybridizing forecasts provides a new, general way to combine and improve individual forecasts, whether or not they are based on HMM algorithms.

Furthermore, the forecasting results of the weekly prices of cowpea are quite precise in the trend forecasting (whether the price goes up/down), but are less precise in the forecasting of a sudden rising or declining.

Usually, for the wind power forecasting of a big wind farm, a representative wind speed (such as a spatial average wind speed) should be forecasted whether based on the time series method or NWP method.

Importantly, then, both our results and those of resume audit studies are best interpreted as estimates of how employers react to resumes, where those reactions include both employer tastes and forecasts (whether biased or unbiased) of future productivity based on observable features of the resume.