The phrase "a clear probability" is correct and usable in written English.
It can be used when discussing the likelihood or chance of an event occurring in a straightforward manner.
Example: "Based on the data collected, there is a clear probability that the project will succeed if we follow the proposed plan."
Alternatives: "a definite likelihood" or "a strong chance".
Those who have been granted withholding of removal by an Immigration judge due to clear probability of being persecuted if deported and literally fled for their lives are being told to quickly make arrangements to find a third country to take them in, even if they can only secure a temporary tourist visa to live elsewhere.
In this paper, a numerical simulation with the IEEE802.15.4 standard was conducted to analyze the packet reception rate and the number of received bits using channel clear probability.
As we have demonstrated here, once these data are available, they can be used to made clear probability statements about the likelihood that events are related.
However, the impact of the PRN activity factor on q increases with the relaxation of the PRN constraint β as shown in Figure 3b. Figure 3 Impact of β and p D min * on the optimal transmission probabilities for different PRN activity factors min. a Clear spectrum transmission probability; b Unclear spectrum transmission probability.
Figure 2 Optimal transmission probabilities for different PRN activity factors and p D min *. a Clear spectrum transmission probability; b Unclear spectrum transmission probability.
Within biology, a clear understanding of probability concepts such as chance and randomness is necessary for understanding evolutionary processes.
Only a quarter of the individuals actually showed a clear assignment (membership probability >0.9) to any cluster, supporting the lack of further structure in the dataset.
One possible explanation for overbidding is that participants in these experiments do not have a clear perception of probabilities, which causes them to bid aggressively.
The normalised FPC and NDVI time-series approaches were more robust for calculating clearing probability, as no training data were required, and can hence be tuned to provide automated alerts for large woody vegetation clearing events by selecting suitable thresholds.
It encourages a clear separation between the probability distribution model and the encoding of information.
