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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
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views
Is there a difference between a binomial test and a GLM with binomial errors and no explanat...
I have collected data on population sex ratios i.e. sexes (male or female) at adult age; my sample size is ~1500.
I want to see if my sex ratio (no. of males/(no. of males+no. of females) differs sig …