Sentence examples for mathematical forecasts from inspiring English sources

The more upbeat mathematical forecasts from Silver and Wang reflect the state polls plus the recent uptick in Obama's national standing.

During every World Cup since 2002 and many European tournaments in between, Daniele Paserman, an economics professor at Boston University, has run a contest for statistical and mathematical forecasts—or, as he calls them, "sophisticated predictions".

During every World Cup since 2002 and many European tournaments in between, Daniele Paserman, an economics professor at Boston University, has run a contest for statistical and mathematical forecasts — or, as he calls them, "sophisticated predictions".

That's what the polls are indicating, and so are the most of the mathematical forecasting models, which extrapolate from survey data.

The difference is that Silver has built a mathematical forecasting model, and people take it very seriously: he is widely regarded as a political astrologer who gets things right.

A physical model usually establishes a rigorous mathematical forecast model based on the principles of geophysical fluid dynamics and thermodynamics [7].

An analysis of the forecasting models using mean absolute deviations and mean squared errors indicated that simple mathematical forecasting techniques provided better predictions of meal demand than did the naı̈Adive method for all sites.

This string of research experiences earned Grais a master's degree in public policy in 1997, a master's degree in science in 1999, and then a Ph.D. based on a mathematical forecast of travel-enhanced spread of infectious diseases in 2003.

The researchers used a mathematical forecasting formula to predict future cancer rates, based on in-house, nationally representative cancer data as well as population projections from the U.S. Census Bureau.

Mathematical forecast models of glioblastoma (and other cancers) are likely to suffer significant errors, which are treated only crudely in the simulations described here.

The program uses a mathematical forecasting model 14 based on disease burden (numbers of cases as well as endemic and at-risk villages), demographics (population and households), and intervention coverage required to break transmission.