Sentence examples for likelihood of various from inspiring English sources
The likelihood of various economic forecasts is still being debated.
An entire industry of weather bookies -- scientists who calculate the likelihood of various natural disasters -- had in effect set the odds: a storm that destroys $70 billion of insured property should strike the United States only once every 100 years.
They find that market prices more accurately predict events than do professional forecasters and polls that are often given authority in assessing the likelihood of various outcomes.
But this forecast was based on a weighted average likelihood of various candidates winning their primaries - for example, we had estimated that Ms. O'Donnell had a 25 percent chance of prevailing in Delaware, and Mr. Lamontange a 30 percent chance of doing so in New Hampshire - leaving Mr. Castle and Ms. Ayotte as the favorites.
The reason for this phenomenon, says Westbury, relates to a word's entropy: a measurement for the likelihood of various combinations of letters being generated.
We adopt a probabilistic approach for door detection, by defining the likelihood of various features for generated door hypotheses.
A logically developed spatial model incorporates these relationships and extrapolates the likelihoods of various forest spatial patterns into the future [15, 16].
The overall fit of the probabilistic niche model to the Benguela food web is significantly better than that of any of the models tested in two recent studies that computed the likelihoods of various food web models, including the best-performing model to date [18], [31].
Finally, comparing network histories inferred using different model parameters can be used to estimate the likelihoods of various evolutionary events [ 14, 15].
A logically developed spatial model incorporates these relationships and extrapolates the likelihoods of various forest spatial patterns into the future [ 15, 16].
Since the continuous-time Markov chains are probabilistic models it is possible to calculate likelihood estimates of various models and use these values to test their validity by comparing their maximum likelihood [22], [23].
