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...mily of models that are a generalization of [[Regression Analysis|ordinary linear regression]], thereby allowing for different statistical distributions to b ...ar for Generalized Linear Models until 2020.''' Search terms: 'Generalized Linear Model' in Title, Abstract, Keywords. Source: own.]]

...aches that contain both fixed and random effects, i.e. models that analyse linear relations while decreasing the variance of other factors. ...ects Model.png|400px|thumb|right|'''SCOPUS hits per year for Mixed Effects Models until 2020.''' Search terms: 'Mixed Effects Model' in Title, Abstract, Keyw

...hat you saw above (based on regression analysis, or based on a generalised linear model). An ANOVA compares the means of more than two groups by extending th ...stical_analysis#Normally_distributed_dependent_variable:_Linear_Regression|Linear Regression]]

...is already of pivotal importance and marks a pronounced difference in how models evolved over the last decades. ...onger time stretches, that today meteorologist rely on so-called 'ensemble models'. This approach looks at, say, one million runs of the same mathematical we

...s in a designed experiment. '''It is one of the most important statistical models, and allows for an analysis of data gathered from designed experiments.''' ...approach into the logic of [[Generalized Linear Models|generalised linear models]], enabling the implementation of other distributions as well. What unites

...e entries on [[Causality and correlation]] as well as [[Generalized Linear Models]]. [[File:Linear Regression Example.png|450px|thumb|right|'''An exemplary linear regression. It shows the distribution of the data points alongside two axes