Generalized linear model: Difference between revisions

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Closing 2020 merge as '''not yet'''; given that no clean-up has taken place over the last year (a requisit for any merge); see Talk:Generalized linear model#Proposed merge of Testing in binary response index models into Generalized linear model
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{{Short description|Class of statistical models}}
{{Distinguish|general linear model|generalized least squares}}
{{Merge from|Testing in binary response index models|discuss=Talk:Generalized linear model#Proposed merge of Testing in binary response index models into Generalized linear model|date=December 2020}}
{{Regression bar}}
In [[statistics]], a '''generalized linear model''' ('''GLM''') is a flexible generalization of ordinary [[linear regression]]. The GLM generalizes linear regression by allowing the linear model to be related to the response variable via a ''link function'' and by allowing the magnitude of the variance of each measurement to be a function of its predicted value.