Sentence examples for probability importance from inspiring English sources

In addition, probability importance and criticality importance of the new mechanism are derived and calculated.

Subsequently, the occurrence probability of the top event and the probability importance of each basic event with respect to the top event are determined.

Optimal threshold distance and components were derived using graph theory based connectivity indices namely, Integral Index of Connectivity importance value (dIIC), Landscape Coincidence Probability importance value (dLCP) and also addressing patch size, number, inter distance and relative importance of each patch in the totality of the landscape.

④ Calculate the importance of parts of each basic event, including probability importance and criticality importance.

The underlying discrete optimization problem is to minimize an expected distortion over all refinement levels weighted by the probability or importance of the descriptions of different resolutions.

In any society, it is necessary to clarify the meaning of science and technology with probability of importance and uncertainty.

In contrast, the fact there could be additional vaccinations at each medical visit had a 48%% probability of importance, the option to delay vaccination 27%%, and the potential for postvaccination fever 15%%.

(Q39 p116; Q43Atp1289 At 89 % probability of importance, the primary factor influencing parental decisions about this vaccine for 0- to 6-month olds was the knowledge that children under 1 year of age are 8 (Sweden) to 25 (UK) times more likely (varying according to country) to get meningococcal disease than other age groups.

Epistemic uncertainty (ignorance about probabilities) More importance has been given to the bunching of responses at 50%% for the expected probability of a binary event (e.g. the percent chance of a positive stock market return or the probability for a 70 years old person to live to at least the age of 80).

To analyze the effects of the different regions within input variables on failure probability, a regional importance measure (RIM) is proposed, and its properties are analyzed and verified.

A variety of the software tools enabled students to understand the interplay between empirical and theoretical probability, recognize the importance of using larger samples to make inferences, and justify their claims with data-based evidence.