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A generalization of linear regression allowing for nonlinear relationships via a "link function" and for the variance of the response to depend on the predicted value. (Not to be confused with "general linear model" which extends the ordinary linear model to general covariance structure and multivariate response.)

4 votes
1 answer
238 views

Modeling count data, using count data as regressors

I want to study the relation between prevalence of high-status members of the holders of a family name in the past and the status of current holders of the same family name (I don't assume any direct …
Ruggiero Spearman's user avatar