random-effects model
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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
Random-Effects-Modell — Inhaltsverzeichnis 1 Abgrenzung statische und dynamische Modelle 2 Schätzverfahren in den statischen Modellen 3 Schätzverfahren in den dynamischen Modellen 4 Literatur // … Deutsch Wikipedia
Fixed-effects- und Random-effects-Modell — Dieser Artikel wurde auf der Qualitätssicherungsseite des Portals Mathematik eingetragen. Dies geschieht, um die Qualität der Artikel aus dem Themengebiet Mathematik auf ein akzeptables Niveau zu bringen. Bitte hilf mit, die Mängel dieses… … Deutsch Wikipedia
Random coil — A random coil is a polymer conformation where the monomer subunits are oriented randomly while still being bonded to adjacent units. It is not one specific shape, but a statistical distribution of shapes for all the chains in a population of… … Wikipedia
Fixed effects estimation — In econometrics and statistics the fixed effects estimator (also known as the within estimator) is an estimator for the coefficients in panel data analysis. If we assume fixed effects, we impose time independent effects for each entity.… … Wikipedia
Mixed model — A mixed model is a statistical model containing both fixed effects and random effects, that is mixed effects. These models are useful in a wide variety of disciplines in the physical, biological and social sciences. They are particularly useful… … 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 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
Fixed-Effects-Modell — Inhaltsverzeichnis 1 Abgrenzung statische und dynamische Modelle 2 Schätzverfahren in den statischen Modellen 3 Schätzverfahren in den dynamischen Modellen 4 Literatur // … Deutsch Wikipedia
Rasch model — Rasch models are used for analysing data from assessments to measure things such as abilities, attitudes, and personality traits. For example, they may be used to estimate a student s reading ability from answers to questions on a reading… … Wikipedia
