This book gives a comprehensive introduction to exponential family
nonlinear models, which are the natural extension of generalized linear
models and normal nonlinear regression models. The differential
geometric framework is presented for these models and the geometric
methods are widely used in this book. The author also pays more
attention to regression diagnostics and influence analysis. The book is
ideally suited for researchers who work in statistical inference and for
graduate students with a basic knowledge of statistics.