generalized parameter
1generalized parameter — apibendrintasis parametras statusas T sritis fizika atitikmenys: angl. generalized parameter vok. verallgemeinerter Parameter, m rus. обобщённый параметр, m pranc. paramètre généralisé, m …
2Generalized 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,… …
3Generalized Algebraic Data Type — Generalized Algebraic Data Types are generalizations of the algebraic data types of Haskell and ML, applying to parametric types.With this extension, the parameters of the return type of a data constructor can be freely chosen when declaring the… …
4Generalized linear model — In statistics, the generalized linear model (GLM) is a flexible generalization of ordinary least squares regression. It relates the random distribution of the measured variable of the experiment (the distribution function ) to the systematic (non …
5Generalized extreme value distribution — Probability distribution name =Generalized extreme value type =density pdf cdf parameters =mu in [ infty,infty] , location (real) sigma in (0,infty] , scale (real) xiin [ infty,infty] , shape (real) support =x>mu sigma/xi,;(xi > 0) x …
6Generalized method of moments — GMM may also mean Gaussian mixture model. : For the Thai entertainment company, see GMM Grammy. The generalized method of moments is a very general statistical method for obtaining estimates of parameters of statistical models. It is a… …
7Generalized inverse Gaussian distribution — Probability distribution name =Generalized inverse Gaussian type =density pdf cdf parameters = a > 0, b > 0, p real support = x > 0 pdf =f(x) = frac{(a/b)^{p/2{2 K p(sqrt{ab})} x^{(p 1)} e^{ (ax + b/x)/2} cdf = mean =frac{sqrt{b} K { 1 p}(sqrt{a… …
8Generalized Helmholtz theorem — The generalized Helmholtz theorem is the multi dimensional generalization of the Helmholtz theorem which is valid only in one dimension. The generalized Helmholtz theorem reads as follows.Let:mathbf{p}=(p 1,p 2,...,p s), :mathbf{q}=(q 1,q 2,...,q …
9Generalized Hebbian Algorithm — The Generalized Hebbian Algorithm (GHA), also known in the literature as Sanger s rule, is a linear feedforward neural network model for unsupervised learning with applications primarily in principal components analysis. First defined in 1989cite …
10Generalized canonical correlation — In statistics, the generalized canonical correlation analysis (gCCA), is a way of making sense of cross correlation matrices between the sets of random variables when there are more than two sets. It is a generalization of the Principal component …
