Gaussian distribution

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Gaussian distribution

[¦gau̇·sē·ən ‚dis·trə′byü·shən]
(statistics)

Gaussian distribution

A random distribution of events that is graphed as the famous "bell-shaped curve." It is used to represent a normal or statistically probable outcome and shows most samples falling closer to the mean value. See Gaussian noise and Gaussian blur.
References in periodicals archive ?
Fit the Gaussian to the features of the query keyword audio.
Therefore, for Kronrod extensions of Gaussian quadrature formulas with multiple nodes of the type (2.
The method of detecting extreme points on the DOG Gaussian pyramid isy with each pixel as the center, to compare the central pixel with its adjacent 26 pixels (8 pixels in the same layer with the central pixels, both 9 pixels in the up and down layers of central pixel).
One can notice that horizontal and vertical cuts do not follow a Gaussian shape.
Mathematica includes an option for number theoretic functionality to apply for Gaussian integers, for example:
t] is a sequence of independent and identically zero-mean Gaussian random variables.
A Gaussian mixture density [psi]{z; [theta]), with K components, that describes the probability distribution of Z with parameters [theta] can be written as follows.
Possible choices of the distribution of W are the Gaussian, Gamma and inverse Gaussian distributions.
If a market price development process is an independent random walk (probability of each step direction is independent on the past, length of each step is also independent and it has certain average step length) probability distribution is of a Gaussian type.
Kenyon was the first to show that the Gaussian free field describes height fluctuations of two random surface models, see [K1, K2].
The Gaussian bell's roots in finance go back to work by French mathematician Louis Bachelier, who modeled changes in share prices in the early 1900s.
Gaussian image is the mapping of surface normals of a 3D object onto the unit sphere (Gaussian sphere).

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