probability distribution

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Related to Statistical distributions: Poisson distribution, Gamma distribution, binomial distribution

probability distribution

n. Statistics
A function giving the theoretical probability of observing a random variable to have a particular value when the variable is discrete or to fall within a certain range when the variable is continuous.

probabil′ity distribu`tion


n.
a distribution of all possible values of a random variable together with an indication of their probabilities.
References in periodicals archive ?
According to Schutta, DSO's algorithm uses advanced principles from statistics to combine raw statistical information to determine statistical distributions from which risk-based decisions are made about spectrum sharing, how to use it, and how to share with cellular systems.
Unfortunately, the statistical distributions of the agent and tissue of the harmonic image do not fit Gaussian [7], but they correspond to Rayleigh distributions [8-10] or k-distribution functions [11-12].
Statistical distributions are the basic aspects of all parametric statistical techniques including inference, modeling, survival analysis, and reliability.
In the meanwhile, in more recent studies, econometric methods were also applied for modeling and estimating individual passenger in-station underlying statistical distributions. Inspired from the econometric approach using highway individual vehicle toll data in [37, 38], Leurent and Xie [21] modeled explicitly constant or uniform-distributed passenger walking speed with shifted exponential-distributed distances by trip leg.
In general, such calculations are based on statistical distributions of test statistics pertaining to study hypotheses.
Within statistical distributions that support higher-order moments, risk and uncertainty may be modeled according to even-numbered moments.
Statistical distributions play an important role in any branch of science that studies systems comprised of many similar or identical particles, objects, or actors, whether material or immaterial, human or nonhuman.
This software can be modified to include other types of modes (i.e., governed by other statistical distributions), as needed.
We show that our results are robust to changes in various assumptions related to the statistical distributions. We first considered the scalar injury risk whose components are assumed to have two different distributions: normal and lognormal.
Handbook of Statistical Distributions With Applications, 2nd Edition
We first studied the suitability of the statistical distributions in modeling the NSCT coefficients of an image.

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