Gaussian random variable with zero mean

См. также в других словарях:

• Random matrix — In probability theory and mathematical physics, a random matrix is a matrix valued random variable. Many important properties of physical systems can be represented mathematically as matrix problems. For example, the thermal conductivity of a… …   Wikipedia

• Minimum mean square error — In statistics and signal processing, a minimum mean square error (MMSE) estimator describes the approach which minimizes the mean square error (MSE), which is a common measure of estimator quality. The term MMSE specifically refers to estimation… …   Wikipedia

• Large deviations of Gaussian random functions — A random function ndash; of either one variable (a random process), or two or more variables(a random field) ndash; is called Gaussian if every finite dimensional distribution is a multivariate normal distribution. Gaussian random fields on the… …   Wikipedia

• Multivariate random variable — In mathematics, probability, and statistics, a multivariate random variable or random vector is a list of mathematical variables each of whose values is unknown, either because the value has not yet occurred or because there is imperfect… …   Wikipedia

• Gaussian network model — The Gaussian network model (GNM), one of many things named after Carl Gauss, is a representation of a biological macromolecule as an elastic mass and spring network to study, understand, and characterize mechanical aspects of its long scale… …   Wikipedia

• Gaussian process — A Gaussian process is a stochastic process which generates samples over time { X t } t ∈ T such that no matter which finite linear combination of the X t one takes (or, more generally, any linear functional of the sample function X t ), that… …   Wikipedia

• Mean squared error — In statistics, the mean squared error (MSE) of an estimator is one of many ways to quantify the difference between values implied by a kernel density estimator and the true values of the quantity being estimated. MSE is a risk function,… …   Wikipedia

• Log-distance path loss model — The log distance path loss model is a radio propagation model that predicts the path loss a encounters inside a building or densely populated areas over distance.Applicable to / Under conditionsThe model is applicable to indoor propagation… …   Wikipedia

• Convergence of random variables — In probability theory, there exist several different notions of convergence of random variables. The convergence of sequences of random variables to some limit random variable is an important concept in probability theory, and its applications to …   Wikipedia

• Additive white Gaussian noise — Explanation= In communications, the additive white Gaussian noise (AWGN) channel model is one in which the only impairment is the linear addition of wideband or white noise with a constant spectral density (expressed as watts per hertz of… …   Wikipedia

• Normal variance-mean mixture — In probability theory and statistics, a normal variance mean mixture with mixing probability density g is the continuous probability distribution of a random variable Y of the form where α and β are real numbers and σ > 0 and random variables… …   Wikipedia