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fixed versus random effects  

Definición

  • The terms fixed and random are commonly used in the regression modeling literature and pertain to whether particular coefficients in a model are treated as fixed or random values. A statistical model is classified as a fixed effects model if all independent variables are regarded as fixed, a random effects model if all independent variables are regarded as random, and a mixed effects model if the independent variables constitute a mix of fixed and random effects. [Source: Encyclopedia of Medical Decision Making; Fixed versus Random Effects]

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http://data.loterre.fr/ark:/67375/N9J-D6MJ560N-6

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