Sentence examples for sum of the probable from inspiring English sources

Exact(1)

The total probable error is the sum of the probable errors over positions, and gives the expected number of mismatches between the inferred modal UA and the true UA.

Similar(59)

This includes the proven reserves compiled by the Energy Department of 237 trillion cubic feet, as well as the sum of the nation's probable, possible and speculative reserves.

They also recommend that if the likelihood cause-of-death values for a particular death did not add up to 1, the difference between the sum of the likelihood values for probable causes of death and 1 was allocated to the 'indeterminate' cause (18).

Benzo[ a]pyrene (BaP) and the sum of the seven B2 PAHs (probable human carcinogens, as identified by the U.S. Environmental Protection Agency (13): benzo[ a]pyrene, benz[ a]anthracene, benzo[ b]fluoranthene, benzo[ k]fluoranthene, chrysene, dibenzo[ a, h]anthracene, and indeno[1,2,3- cd]pyrene) showed a similarly wide range of concentrations (Table 2 and Table S1 of the Supporting Information).

Predictions of response variables for the test set observations were done both by a) selecting the local model for the most probable cluster and by b) computing the regression coefficients as a probability-weighted sum of the local regression models.

The total score is the sum of the RS and ARD scores, and total scores ≥8 indicated probable GERD as previously validated [ 19].

He suggested that the most appropriate value for the unknown parameter is the most probable one, which is the sum of the square of the observed and the computed values difference.

The sum of scores for the six discomfort domains was negatively correlated with the sum of the scores of the adult's opinion of the children's probable ability to tolerate 7 T MRI (Spearman's correlation=−0.330, p=0.011).

The implementation contains two options for prediction: 1) Prediction using the local regression model calibrated in the most probable cluster, and 2) Prediction using a weighted sum of the local regression models, using the estimated cluster membership values as weights.

Predictions of response variables for the test set observations were here done both by a) selecting the local model for the most probable cluster and by b) computing the regression coefficients as a weighted sum of the local models.

That is the sum of the allegations.

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