Could someone explain the differences among the three? It looks to me the function form is the same so they're doing the same thing, but the potential assumption on Y distribution is different between 1 and 3. And I think 1 and 2 is exactly the same thing.
- Log Transformations on Y in a Linear Model
- Log-linear regression
- Poisson regression