Sentence examples for a general probability from inspiring English sources

Exact(10)

The results of this work have been generalized by Bharucha-Reid [1, 7] on a general probability measure space.

Let P be a general probability distribution on ( Ω, F ).

This paper presents a new mixed integer nonlinear stochastic staff scheduling model, where the workforce demands are under uncertainty, with a general probability distribution.

The algorithms are stated in terms of operations on a general probability density function representing a single feature of the environment.

The CM is described locally by a general Probability Density Function (PDF), which is approximated by a truncated spectral expansion with a number of 'components' much smaller than the number of chemical components in the original mixture.

We have proposed, under a general probability sampling design, a two-phase sampling procedure, when the size of a domain (small area) is not known, for estimating the domain total, the first phase being exclusively devoted to arriving at a good estimator of the size of the domain and the second phase being designed to deal with the domain estimation.

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Similar(50)

Let f follow a gamma distribution such that The gamma distribution is a very general probability density allowing for shapes ranging from an exponential (when β = 1) through to normal-like distributions depending upon the values of α and β.

Jeffrey's model can be generalised by introducing a more general probability updating rule (e.g., Jeffrey conditionalisation).

Further, generally speaking, it is difficult to give a uniform or general Probability Density Function (PDF) or Cumulative Distribution Function (CDF) of the inter-vehicle distances or connection duration length under different application scenarios such as overtaking, platoon and collisions.

A solution of this general probability estimation problem is obtained by treating it as a nonparametric regression problem.

Off course patients can have several risk factors, in this case the system will reason over the different probabilities to determine the general probability that a patient belongs to a risk group.

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