| NOUN | a Gaussian distribution | Gaussian distributions |
| SYNO | Gaussian distribution | normal distribution |
NOUN article.ind sg | pl
30 Übersetzungen
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Anwendungsbeispiele Englisch
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- 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 [...].
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