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Probability density function

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Probability density function

The function that describes the change of certain realizations for a continuous random variable.
Copyright © 2012, Campbell R. Harvey. All Rights Reserved.

Probability Function

In statistics, a measure of the probable distribution of some random variable. When plotted on a chart, the area under the graph represents the probable values of the random variable. It is used in foreign exchange and equities as a means of assessing probable future market trends.
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References in periodicals archive
The probability density function of the production of matrix asphalt materials is shown in Figure 2.
The transition density function especially plays a key role in the analysis of continuous-time diffusion models.
Suppose there is a density function controlled by the parameter vector [lambda], where the function L([lambda]|X) is called the likelihood function and is the parameter [lambda] function parameter determined by the observation vector X:
Gavriliadis, "The truncated Hausdorff moment problem solved by using kernel density functions," Probabilistic Engineering Mechanics, vol.
Figure 3 displays some of the possible shapes of the density function of the EOFW distribution.
Changing [mathematical expression not reproducible], the density function reduces to Equation 24:
To solve for turbulent flow without closely associated defferent dynamical mechanics, a probability density function method is adopted to describe the pulsating intensity of velocity of fluid particles in this study.
This model revealed three properties of growth: separability, self-similarity and a Gaussian branch density function. Separability means that growth in one spatial direction is independent of growth in other directions.
Saarloos[3] shown that the density function (mass, momentum and energy fields) obeys a Liouville equation for hydrodynamics ideal fluid.
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