Sentence examples for probability for those from inspiring English sources
On the other, in order to bound uncertainty, intervals must be narrow; this means that there is a trade-off between both objectives, as narrow intervals reduce the coverage probability for those solutions, as the actual value of solar radiation is more likely to fall outside the predicted margins.
where A is all players except the greedy player and P a is the transmission probability for those players, one can define a basic utility function for the greedy player that needs to be minimized, i.e., U_{{g}}= 1~-~Q_{{g}}.
For example, for the physically impaired, VR services are associated with a 1.5% increase in the probability of SSDI/SSI receipt for those who received disability insurance prior to the SFY2000 application and a 9.0% decrease in the probability for those who did not receive disability insurance prior to the VR application quarter.
After estimating the fully adjusted models we calculated the average predicted probability for those with and without history of AUDs.
Our survival analysis indicated a significantly higher 90-day survival probability for those who received NIV compared to those who did not.
Thus, in terms of the difference in predicted probabilities to belong at high expenditures group, the subjects on the high care need levels have been a probability 65.7% higher than the probability for those subjects use another LTC services and they not belong to high care needs level.
But that still leaves us with figuring out win probabilities for those Senate races without any polls.
The predicted probabilities for those seeking ADC regularly ranged only from 0 to 3.5%.
The predicted probabilities for those receiving SDC in all grades during childhood were maintained at around 70%to90%0%.
AlphaImpute does not impute all markers as integer genotypes but rather supplies genotype probabilities for those that do not have full information for imputation.
Pencina and colleagues proposed 2 measures for the net increase in patients who are appropriately classified, i.e. higher predicted probabilities for patients with the outcome and lower probabilities for those without the outcome [ 7].
