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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.)
2
votes
2
answers
277
views
Testing significance between samples with all zeroes in one
I have Count data with zeros, and I'd like to use a poisson GLM (or similar) to compare two groups. One group has all zeros, the other is count data ranging from 0-15.
Since one group has all zeros …
0
votes
1
answer
1k
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Comparison of groups over time using glm
I have count data on three groups of sites, sampled annually over 6 years.
Group1 = target group
Group2= control (untreated group) and
Group3 = treated group (started the same as Group2).
My hy …