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 ?
The calculated results show that the probability density function model (PDFM) more accurately reflects measurement data than the log-law model.
Our main objective was to develop a new, efficient Weibull distribution where we have developed double weight in existing probability density function of the Weibull distribution.
The following methods solve for the probability density function for the load.
Modelling n-dodecane spray and combustion with the transported probability density function method," Combust.
In real world applications, the probability density functions of those quantities can only be estimated from physical measurements.
Compute the probability density function of all hundred speech database feature vectors in the index database to the query GMM.
i] between consecutive occurrences is a second order hyper-exponential distribution (H2) defined by the probability density function (13):
mean densities) were also assumed to follow a Poisson probability density function typical of count or density data, reflecting the high probability of observing few individuals and the long tail of decreasing probabilities of high densities of geoducks.
The specific attributes of uncertainty are usually described by probability density function (PDF) or statistical parameters (e.
In case of an analysis of an adequate number of samples, the deviations will be typically situated along the probability density function of a standard normal unimodal distribution (figure 3).
Given these parameters, a Gaussian model probability density function is associated with each UAV location data whose mean value is located at the GPS indicated center.
Typical image noise models are further characterized by the shape of their probability density function which in the discrete setting is represented by the noise histogram.

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