Gaussian distribution

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Gauss·i·an distribution

[After Karl Friedrich Gauss.]

Gaussian distribution

(Statistics) another name for normal distribution

nor′mal distribu′tion

a theoretical frequency distribution represented by a normal curve. Also called Gaussian distribution.
ThesaurusAntonymsRelated WordsSynonymsLegend:
Noun1.Gaussian distribution - a theoretical distribution with finite mean and variance
distribution, statistical distribution - (statistics) an arrangement of values of a variable showing their observed or theoretical frequency of occurrence
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
References in periodicals archive ?
Commodity markets are much more dangerous than the comforting world of the Gaussian distribution allows.
Finding the Likelihood energy function U(y|x) using Gaussian distribution
Statistical analysis based on a certain multivariate complex Gaussian distribution, Annals Math.
The general clustering mechanism causes significant autocorrelation in volatility data series and possibly the departures from normality in the distribution but we have to mention at this point also an artificial case of observing volatility clusters with the resulting Gaussian distribution as it is simulated in the Figure 14 in the appendix.
We have noted in our studies on healthy children that log transformation of the data gives a gaussian distribution of cardiac troponin concentrations (12).
and, in particular, link the complex Gaussian distribution to the
Appendix: The Exponentially Modified Gaussian Distribution
However, after logarithmic transformation a Gaussian distribution was obtained, and therefore we applied the Bhattacharya (11) method after logarithmic transformation.
Benth, 2000, Quantification of Risk in Norwegian Stocks via the Normal Inverse Gaussian Distribution, Proceedings of the AFIA 2000 Colloquium, Tromso, Norway, pp.
Therefore, we propose using a mixture of Gaussian distribution functions to represent the joint probability distribution F{Y,X), where each mode (or mixture component) will represent a locally linear regime of building performance.

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