Probability density function

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Related to Probability density function: Probability distribution function

Probability density function

The function that describes the change of certain realizations for a continuous random variable.

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.
References in periodicals archive ?
For every frame in the database words the probability density function is computed against the query Gaussian model.
The best-fitting model from the likelihood-based GLMM was used to estimate Bayesian posterior probability density functions for each model parameter, which were then combined with the GIS output to estimate probability density functions for total geoduck abundance in each region of Hood Canal.
Assuming that each tuple can get multiple values in a discrete domain [a, b], the value of each tuple is based on a probability density function of this discrete domain.
Let p(z, t) denote the probability density function (pdf),
Then the joint probability density function is a product of the individual probability densities
The first method introduced for computing the stochastic watershed is based on a large number of realizations of random markers to estimate a probability density function of contours, or of surface boundaries in 3D.
In the case of Gaussian distribution, the probability density function pf) is given by:
The probability density function gives the probability that the voltage magnitude is within a certain range.
y = [psi](x)); and f(x) and f(y) are the joint probability density functions of x and y, respectively.
The standard uncertainty is obtained from a probability density function derived from an observed frequency distribution.
lambda]]([lambda]), and then weighting them by the conditional probability density function [P.

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