Generalized linear definition

Generalized linear means “linear inside a known link function” in the context of the present paper.

Examples of Generalized linear in a sentence

  • Generalized linear mixed models: a practical guide for ecology and evolution.

  • Generalized linear modeling is a development of linear models to accommodate both non-normal response distributions and transformations to linearity in a clean and straightforward way.

  • Generalized linear models for response rates will use a binomial error distribution and for quantitative endpoints, a normal error distribution.

  • Generalized linear modeling is a development of linear models to accommodate both non- normal response distributions and transformations to linearity in a clean and straightforward way.

  • Generalized linear models, while flexible in terms of the supported response dis- tributions, obey rather strong assumptions like linearity of the effect of the covariates on the predictor and the independence of the observations.

  • Generalized linear models (GLMs) [119] allow more flexibility in the response variable through the introduction of a link function.

  • Generalized linear modelsWhile simple linear models capture the dependence between bandit arms in a straightforward and expressive way, the model as described does not immediately apply to other types of observations, such as binary or count data.

  • Leibmann, 285 U.S. 262, 311 (1932) (Brandeis, J., dissenting) ("[A] single courageous State may, if its citizens choose, serve as a laboratory; and try novel social and economic experiments without risk to the rest of the country."); see also Richard L.

  • Generalized linear models, including logistic regression (LR), have also been used to classify composition data [50, 8].

  • Generalized linear models are helpful in accounting for differences at a county level, such as multiple delivery systems while other counties may not have these.