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generalized linear model

См. также в других словарях:

  • 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 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

  • Linear model — In statistics the linear model is given by:Y = X eta + varepsilonwhere Y is an n times;1 column vector of random variables, X is an n times; p matrix of known (i.e. observable and non random) quantities, whose rows correspond to statistical… …   Wikipedia

  • Generalized linear array model — In statistics, the generalized linear array model(GLAM) is used for analyzing the data sets with array structure. It based on the generalized linear model with the regression matrix written as a Kronecker product. Overview In the article… …   Wikipedia

  • Generalized linear mixed model — In statistics, a generalized linear mixed model (GLMM) is a particular type of mixed model (multilevel model). It is an extension to the generalized linear model in which the linear predictor contains random effects in addition to the usual fixed …   Wikipedia

  • Generalized Maxwell model — Schematic of Maxwell–Wiechert model The Generalized Maxwell model also known as the Maxwell–Wiechert model (after James Clerk Maxwell and E Wiechert [1] [2]) is the most general form of the l …   Wikipedia

  • Generalized Maxwell Model — The Generalized Maxwell model also known as the Maxwell Weichert model (after James Clerk Maxwell and Dieter Weichert) is the most general form of the linear model for viscoelasticity. It takes into account that the relaxation does not occur at a …   Wikipedia

  • General linear model — Not to be confused with generalized linear model. The general linear model (GLM) is a statistical linear model. It may be written as[1] where Y is a matrix with series of multivariate measurements, X is a matrix that might be a design matrix, B… …   Wikipedia

  • Comparison of general and generalized linear models — General linear model Generalized linear model Typical estimation method Least squares, best linear unbiased prediction Maximum likelihood or Bayesian Special cases ANOVA, ANCOVA, MANOVA, MANCOVA, ordinary linear regression, mixed model, t test, F …   Wikipedia

  • Model selection — is the task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre existing set of data is considered. However, the task can also involve the design of experiments such that the data collected is …   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

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