Probability

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PROBABILITY. That which is likely to happen; that which is most consonant to reason; for example, there is a strong probability that a man of a good moral character, and who has heretofore been remarkable for truth, will, when examined as a witness under oath, tell the truth; and, on the contrary, that a man who has been guilty of perjury, will not, under the same circumstances, tell the truth; the former will, therefore, be entitled to credit, while the latter will not.

A Law Dictionary, Adapted to the Constitution and Laws of the United States. By John Bouvier. Published 1856.
References in periodicals archive ?
Li, "Hybrid probabilistic interval analysis of bar structures with uncertainty using a mixed perturbation Monte-Carlo method," Finite Elements in Analysis and Design, vol.
This paper has used the notion of [LAMBDA]-convergence and studied it in the context of probabilistic normed (PN) spaces.
2.2 The algorithm of using the generic modular integrated probabilistic model of software reliability estimation
A different approach is used in [19]; it is based on SET fault injection for gate level characterization; the critical input combination and its probability is derived for combinational blocks; probabilistic model checking using PRISM is used for deriving the reliability at RTL.
Probabilistic 84-96-h forecasts of 12-h rainfall for the period ending 0000 UTC 12 Feb 2019.
In addition to the probabilistic model, the latest version of ARC features functionality to help insurers understand their additional risk due to GDPR, the expansion of AIR's cyber industry exposure database to regions globally, and many other enhancements.
Based on the literature screening and experience of the members of the French OEL committee, a probabilistic approach, making use of a classical Monte Carlo method, was developed.
Figure 2 provides an overview of our approach to apply an automated probabilistic dose-response workflow to a large number of chemicals and endpoints.
Under this assumption, we formulate the problem of distributed robust beamforming design with probabilistic constraints for cognitive two-way relay networks, which has not been well investigated before.
The structure of the proposed models leads the users to gain a real understanding of the probabilistic approaches.
In this paper, we investigate the probabilistic decision making problems with linguistic information, some new probabilistic decision making methods are developed.