Binary regression: Difference between revisions

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The simplest direct probabilistic model is the [[logit model]], which models the [[log-odds]] as a linear function of the explanatory variable or variables. The logit model is "simplest" in the sense of [[generalized linear model]]s (GLIM): the log-odds are the natural parameter for the [[exponential family]] of the Bernoulli distribution, and thus it is the simplest to use for computations.
 
==See also ==
*{{sectionlink|Generalized linear model#Binary data}}
*[[Linear probability model]]
 
==References==