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st: Negative Binomial mean and variance
Is there a hard and fast rule as to how small your mean and variance
need to be when modeling count data via negative binomial regression? I
know about the assumption of overdispersion but have never seen anything
on the relative "size" of these two measures. I am assuming that the
larger the mean the more your model looks like a normal distribution...
Thanks in advance!
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