Nonlinear statistical modelling is an area of growing importance. This
monograph presents mostly new results and methods concerning the
nonlinear regression model.
Among the aspects which are considered are linear properties of
nonlinear models, multivariate nonlinear regression, intrinsic and
parameter effect curvature, algorithms for calculating the
L2-estimator and both local and global approximation. In
addition to this a chapter has been added on the large topic of
nonlinear exponential families.
The volume will be of interest to both experts in the field of nonlinear
statistical modelling and to those working in the identification of
models and optimization, as well as to statisticians in general.