generalized mixed model
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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 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
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
Mixed logit — is a fully general statistical model for examining discrete choices. The motivation for the mixed logit model arises from the limitations of the standard logit model. The standard logit model has three primary limitations, which mixed logit… … 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
First-hitting-time model — In statistics, first hitting time models are a sub class of survival models. The first hitting time, also called first passage time, of a set A with respect to an instance of a stochastic process is the time until the stochastic process first… … Wikipedia
Entity-attribute-value model — (EAV), also known as object attribute value model and open schema is a data model that is used in circumstances where the number of attributes (properties, parameters) that can be used to describe a thing (an entity or object ) is potentially… … Wikipedia
Entity–attribute–value model — (EAV) is a data model to describe entities where the number of attributes (properties, parameters) that can be used to describe them is potentially vast, but the number that will actually apply to a given entity is relatively modest. In… … Wikipedia
Exogenous growth model — The Exogenous growth model, also known as the Neo classical growth model or Solow growth model is a term used to sum up the contributions of various authors to a model of long run economic growth within the framework of neoclassical… … Wikipedia
Neoclassical growth model — See also: Ramsey growth model The neoclassical growth model, also known as the Solow–Swan growth model or exogenous growth model, is a class of economic models of long run economic growth set within the framework of neoclassical economics.… … Wikipedia
