Sentence examples for probability of field from inspiring English sources

This probability of field token value in presence of all values can also be calculated as a posterior probability value based on prior, likelihood of the value given the news reports about the event and the prior probability of occurrence of event in the reports as described in the context of combination and calibration of methods for the purpose of forecasting of events appearing in [133].

The parameters of the classical F-S model include Θ = m 1, m 2, …, m K, u 1, u 2, …, u K, π where the m-probabilities are the probability of field agreement given the record pair is a true match, and the u-probabilities are the probabilities of field agreement given the record is a true non-match.

In order to further validate the results, a pilot study was conducted and it was observed that the difference between the calculated probabilities of field data and the theoretical probabilities obtained from nomograph was very marginal.

Here we develop and test a method for estimating in-season crop acreage using a probability sample of field visits and producing wall-to-wall crop type maps at national scales.

Similarly, farm extent affects the probability of a field being within the range of the isolation distance of a neighbouring field of the same crop.

This can be calculated based on the iteratively developed conditional probability of a field token value given an event as a maximization step of EM algorithm solution as described in [132].

This can also be calculated as an optimal score approach where the conditional probability of the field token value is calculated based on defined number of past observations, and observations from news reports with application of appropriate weight-age to each that minimize a posterior log likelihood measure as described in [133].

Left wrist to Head Chest Left thigh Right thigh distance (cm) 85452040 40 path loss (dB) 51.4 49.4 45.5 49.4 Figure 7 Distance-dependent path loss: (a) LOS path loss; (b) cumulative probability of far-field LOS path loss; (c) NLOS path loss.

SEE values were found to be about 0.052 (Fig. 6a), 0.041 (Fig. 6b), 0.054 (Fig. 6c) and 0.059 (Fig. 6d) respectively indicating satisfactory agreement between the probability of headways of field data and model outcomes.

It's about the same probability of hitting a field goal from the 20-yard line.

However, in the cases where projects are successful, there is an enhanced probability of moving the field ahead rapidly and significantly.