Random effects model
id:
random-effects-model-167-14947927
title:
Random effects model
text:
In statistics, a random effects model, also called a variance components model, is a statistical model where the model parameters are random variables. It is a kind of hierarchical linear model, which assumes that the data being analysed are drawn from a hierarchy of different populations whose differences relate to that hierarchy. A random effects model is a special case of a mixed model. Contrast this to the biostatistics definitions, as biostatisticians use "fixed" and "random" effects to res
brand slug:
wiki
category slug:
encyclopedia
description:
Statistical model
original url:
https://en.wikipedia.org/wiki/Random_effects_model
date created:
2006-08-26T23:32:06Z
date modified:
2024-08-30T14:36:14Z
main entity:
{"identifier":"Q1826427","url":"https://www.wikidata.org/entity/Q1826427"}
image:
fields total:
13
integrity:
15