Text book or article exposition on MLE (non-linear least squares) error analysis

I am looking for a rigorous mathematical development of non-linear least squares error analysis, specially the accuracy of the MLE estimate -- either in a text or a paper. This involves an analysis of the use of the hessian of the objective function, and the variance of the residuals as a scale factor. Any pointers are much appreciated.