generalized parameters

См. также в других словарях:

• Generalized 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… …   Wikipedia

• Generalized estimating equations — (GEEs) are used in statistics to fit the parameters of a Generalized linear model where unknown correlation is present.They allow for correlation without explicitly defining a model for the origin of the dependancy, hence they are most suitable… …   Wikipedia

• Generalized quadrangle — A generalized quadrangle is an incidence structure. A generalized quadrangle is by definition a polar space of rank two. They are the generalized n gons with n=4. They are also precisely the partial geometries pg(s,t,alpha). DefinitionA… …   Wikipedia

• Generalized 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 …   Wikipedia

• Generalized Dirichlet distribution — In statistics, the generalized Dirichlet distribution (GD) is a generalization of the Dirichlet distribution with a more general covariance structure and twice the number of parameters. Random variables with a GD distribution are neutral [R. J.… …   Wikipedia

• Generalized n-gon — In combinatorial theory, a generalized n gon is an incidence structure introduced by Jacques Tits. Generalized polygons encompass as special cases projective planes (generalized triangles, n = 3) and generalized quadrangles ( n = 4), which form… …   Wikipedia

• Generalized 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… …   Wikipedia

• Generalized 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… …   Wikipedia

• Generalized additive model — In statistics, the generalized additive model (or GAM) is a statistical model developed by Trevor Hastie and Rob Tibshirani for blending properties of generalized linear models with additive models.The model specifies a distribution (such as a… …   Wikipedia

• Generalized 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 …   Wikipedia

• Generalized semi-infinite programming — In mathematics, generalized semi infinite programming (GSIP) is an optimization problem with a finite number of variables and an infinite number of constraints. The constraints are parameterized by parameters and the feasible set of the… …   Wikipedia