Asymptotics of maximum quasi-likelihood estimates in generalized linear models with adaptive designs

In a generalized linear model with adaptive designs,under the most general assumption on the minimum eigenvalue of Fisher information matrix,the moment condition on responses as weak as possible and other mild regular conditions,it is proved that the maximum quasi-likelihood estimates for the regression parameter vector are strongly consistent and asymptotically normal.