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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.)
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Averaging Variables to create general equation
My data best fit is the 3 parameter inverse gamma distribution(thereby giving a, b, y variables with each event having a specific value for each variable) but I am not sure how to create a general eq …