Quasi-Poisson regression

Quasi-Poisson regression uses the mean model $\log {\mu }_i=x_i^T\beta$ and variance relation $\mathrm{Var}(Y_i)=\varphi {\mu }_i$. It estimates $\beta$ through quasi-likelihood and scales its covariance by the estimated dispersion $\varphi$.