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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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compare p-value from two different glm (with the same response variable)
I am currently analyzing the occupancy of bat boxes and the factors that are influencing the occupancy. To determine the most significant variables influencing the occupancy I am running a glm with oc …