Poisson regression is similar to multinomial logistic regression in that the dependent variable can take only non-negative integer values. With multinomial logistic regression the dependent variable takes takes values 0, 1, …, r for some known value of r, while with Poisson regression there is no predetermined r value, i.e. any count value is possible.
- Basic Concepts
- Using Solver to estimate the coefficients
- Residuals and Goodness of Fit
- Using Newton’s method to estimate the coefficients
- Real Statistics data analysis tool
In addition, proofs of some properties can be found on the following webpage. These proofs use calculus.