Übersetzung für 'Gaussian distribution' von Englisch nach Deutsch

Gaussian distribution

Normalverteilung {f}math.

gaußsche Verteilung {f}math.

gaußsche Normalverteilung {f}math.

Gauß'sche Normalverteilung {f}math.

Gaußsche Verteilung {f} [alt]math.

Gaußsche Normalverteilung {f} [alt]math.

Gauß-Verteilung {f}math.stat.

Gauß'sche Verteilung {f}math.stat.

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conditional Gaussian <CG> distribution

bedingte Gauß-Verteilung {f}math.stat.

inverse Gaussian distribution

inverse Normalverteilung {f}math.stat.

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Gaussian noise

Gauß'sches Rauschen {n}electr.phys.

non-Gaussian {adj}

nichtgaußischmath.

Gaussian function

Gaußfunktion {f} [auch: Gauß-Funktion]engin.math.tech.

Gaußsche Funktion {f} [alt]engin.math.tech.

gaußsche Funktion {f}engin.math.tech.

Gauß'sche Funktion {f}engin.math.tech.

Gaussian filter

Gauß-Filter {m}electr.math.

Gaussian smoothing

Gauß-Glättung {f} [auch: gaußsche Glättung]comp.

Gaussian window

Gauß-Fenster {n}electr.

Gaussian elimination

Gauß-Verfahren {n} [gaußsches Eliminationsverfahren]math.

gaußsche Elimination {f}math.

Gauß'sche Elimination {f}math.

Gaussian curvature

gaußsches Krümmungs­maß {n}math.

Gaußkrümmung {f}math.

Gaussian beam

Gauß-Strahl {m}optics

Gaussian bell

Gaußglocke {f}math.

Gaussian pulse

gaußförmiger Impuls {m}electr.

Gaussian process <GP>

Gauß-Prozess {m}math.

Gaussian number plane

gaußsche Zahlenebene {f}math.

Gaussian elimination method

Gauß'sches Eliminationsverfahren {n}math.

• Other ways is to assign a cumulative Gaussian distribution of the electrons or using a Methfessel–Paxton method.
• AWGN is often used as a channel model in which the only impairment to communication is a linear addition of wideband or white noise with a constant spectral density (expressed as watts per hertz of bandwidth) and a Gaussian distribution of amplitude.
• The skewness parameter of the Doppler spectrum describes the asymmetry of the spectrum with respect to a symmetric Gaussian distribution.
• In a letter to Bessel dated 2 August 1836 Hagen presented his hypothesis of elementary errors and deduced a Gaussian distribution for observational errors.
• More realistic spin glass models with short range frustrated interactions and disorder, like the Gaussian model where the couplings between neighboring spins follow a Gaussian distribution, have been studied extensively as well, especially using Monte Carlo simulations.

• In the standard type of hidden Markov model considered here, the state space of the hidden variables is discrete, while the observations themselves can either be discrete (typically generated from a categorical distribution) or continuous (typically from a Gaussian distribution).
• In probability theory and statistics, the multivariate normal distribution, multivariate Gaussian distribution, or joint normal distribution is a generalization of the one-dimensional (univariate) normal distribution to higher dimensions.
• If jitter has a Gaussian distribution, it is usually quantified using the standard deviation of this distribution.
• Because it is self-similar over a wide range of magnitudes, it produces outcomes completely different from Normal or Gaussian distribution phenomena.
• A random variable with a Gaussian distribution is said to be normally distributed, and is called a normal deviate.

• Out of all distributions with a given mean and variance, the normal or Gaussian distribution is the one with the highest entropy.
• The desired acceptance rate depends on the target distribution, however it has been shown theoretically that the ideal acceptance rate for a one-dimensional Gaussian distribution is about 50%, decreasing to about 23% for an [...] -dimensional Gaussian target distribution.
• For example, with the univariate Gaussian distribution, [...] is formally a single parameter with dimension 2, but it is sometimes regarded as comprising 2 separate parameters—the mean and the standard deviation.
• One example of this situation is when [...] have a bivariate normal (Gaussian) distribution.
• This distribution results from compounding a Gaussian distribution (normal distribution) with mean [...] and unknown variance, with an inverse gamma distribution placed over the variance with parameters [...] and [...].