hierarchical linear-model

hierarchical linear-model, hierarchical linear regression

Dictionary of sociology. 2013.

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  • Hierarchical linear modeling — In statistics, hierarchical linear modeling (HLM), a form of multi level analysis, is a more advanced form of simple linear regression and multiple linear regression. Multilevel analysis allows variance in outcome variables to be analysed at… …   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

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  • Hierarchical hidden Markov model — The Hierarchical hidden Markov model (HHMM) is a statistical model derived from the hidden Markov model (HMM). In an HHMM each state is considered to be a self contained probabilistic model. More precisely each stateof the HHMM is itself an HHMM …   Wikipedia

  • Random effects model — In statistics, a random effect(s) model, also called a variance components model is a kind of hierarchical linear model. It assumes that the data describe a hierarchy of different populations whose differences are constrained by the hierarchy. In …   Wikipedia

  • Generalized scale-free model — There has been a burst of activity in the modeling of scale free complex networks. The recipe of Barabási and AlbertBarabási, A. L. and R. Albert, Science 286, 509(1999).] has been followed by several variations and generalizationsR. Albert, and… …   Wikipedia

  • Mixture model — See also: Mixture distribution In statistics, a mixture model is a probabilistic model for representing the presence of sub populations within an overall population, without requiring that an observed data set should identify the sub population… …   Wikipedia

  • Marginal model — In statistics, marginal models (Heagerty Zeger, 2000) are a technique for obtaining regression estimates in multilevel modeling, also called hierarchical linear models. People often want to know the effect of a predictor/explanatory variable X,… …   Wikipedia

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