Sentence examples for a distribution of probabilities from inspiring English sources

The term Zipfian distribution refers to a distribution of probabilities of occurrence that follows Zipf's law.

Figure 8 Respondents' preference and perceived helpfulness of two different types of map content: maps depicting a distribution of probabilities of reaching and exceeding a fixed ash threshold, such as 10 mm (fixed ash threshold), and maps depicting a distribution of ash thicknesses expected at a fixed probability threshold, such as 25% (fixed probability threshold) (see Figure 3 ).

Map A depicts the hazard using a fixed ash threshold – a distribution of probabilities of reaching and exceeding a fixed ash threshold, here, 1 mm, and map B depicts the hazard using a fixed probability threshold – a distribution of ash thicknesses expected at a fixed probability threshold, here, 25%.

Alternatively, the distribution of the values could be used in a Monte Carlo process to generate a distribution of probabilities to allow a probabilistic characterization of P, B, or T. Ideally, all guidelines and criteria should be based only on scientific evidence.

In this scenario there is no a priori deterministic certainty to the particle's emission, only a distribution of probabilities.

The highest level of specialization of a given motif would correspond to a distribution of probabilities displaying a single peak, whereas the maximum level of flexibility would correspond to a flat distribution of probabilities, where all the potential dynamics would be equally probable.

A beta-binomial distribution assumes a distribution of infection probabilities among individuals instead of a uniform probability for all individuals but still has a discrete outcome per individual of infected or uninfected [ 52].

The ratio of these to the true incidence gives a distribution of ascertainment probabilities, s, across all clinics.

The maximum flexibility would correspond to a system where all possible dynamics have the same probability, i.e. a flat distribution of probabilities and hence minimal kurtosis.

In fact EIRENE determines the flight distance of a neutral particle from an effective mean free path and samples the type of collision at the point of collision from a discrete distribution of probabilities of the involved collision processes.

LDPC codes are suited for channels where losses occur following a uniform distribution of probability, and each loss is independent from all the other ones, i.e., memoryless channels [16].