You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I see that in chapter 13.3 we specify what we are estimating when we estimate a Poisson model
We should do the same for 13.4, the negative binomial model.
Something along the line of:
$y ~ \text{NegativeBinomial}(\lambda, \alpha) $
$\log(\lambda) = \alpha + \beta x$
Also, it would be good to point out that estimating a Poisson model is not the same as estimating a OLS model with the log count as the dependent variable, because with the former we estimate the log of the expected value of count while with the latter we would model the expected value of the log of the count
The text was updated successfully, but these errors were encountered:
Uh oh!
There was an error while loading. Please reload this page.
I see that in chapter 13.3 we specify what we are estimating when we estimate a Poisson model
We should do the same for 13.4, the negative binomial model.
Something along the line of:
Also, it would be good to point out that estimating a Poisson model is not the same as estimating a OLS model with the log count as the dependent variable, because with the former we estimate the log of the expected value of count while with the latter we would model the expected value of the log of the count
The text was updated successfully, but these errors were encountered: