- Gaussian density
- плотность нормального распределения
The New English-Russian Dictionary of Radio-electronics. F.V Lisovsky . 2005.
The New English-Russian Dictionary of Radio-electronics. F.V Lisovsky . 2005.
Density estimation — In probability and statistics, density estimation is the construction of an estimate, based on observed data, of an unobservable underlying probability density function. The unobservable density function is thought of as the density according to… … Wikipedia
Gaussian — Тип ПО для вычислительной химии Автор Джон Попл Разработчик Gaussian, Inc. Операционная система Кроссплатформенное программное обеспечение Первый выпуск 1970 Последняя версия Gaussian 09 ревизия B … Википедия
Gaussian noise — is noise that has a probability density function (abbreviated pdf) of the normal distribution (also known as Gaussian distribution). In other words, the values that the noise can take on are Gaussian distributed. It is most commonly used as… … Wikipedia
Gaussian quantum Monte Carlo — is a quantum Monte Carlo method that shows a potential solution to the fermion sign problem without the deficiencies of alternative approaches. Instead of the Hilbert space, this method works in the space of density matrices that can be spanned… … Wikipedia
Gaussian function — In mathematics, a Gaussian function (named after Carl Friedrich Gauss) is a function of the form::f(x) = a e^{ { (x b)^2 over 2 c^2 } }for some real constants a > 0, b , c > 0, and e ≈ 2.718281828 (Euler s number).The graph of a Gaussian is a… … 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 surface — A Gaussian surface is a closed two dimensional surface through which a flux or electric field is to be calculated. The surface is used in conjunction with Gauss s law (a consequence of the divergence theorem), allowing one to calculate the total… … Wikipedia
Gaussian random field — A Gaussian random field is a random field involving Gaussian probability density functions of the variables. The initial conditions of physical cosmology generated by quantum mechanical fluctuations during cosmic inflation are thought to be a… … Wikipedia
Generalized Gaussian distribution — (GGD)= A random variable X has generalized Gaussian distribution if its probability density function (pdf) is given byf(x;m,sigma,alpha)=a exp( |(x m)/b|^alpha) ,x in R, where m is the mean of the distribution, sigma is the standard deviation,… … Wikipedia
Kernel density estimation — of 100 normally distributed random numbers using different smoothing bandwidths. In statistics, kernel density estimation is a non parametric way of estimating the probability density function of a random variable. Kernel density estimation is a… … Wikipedia
Multivariate kernel density estimation — Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental questions in statistics. It can be viewed as a generalisation of histogram density… … Wikipedia