A balanced presentation of the theoretical, practical, and computational aspects of nonlinear regression. Provides background material on linear regression, including a geometrical development for linear and nonlinear least squares. The authors employ real data sets throughout, and their extensive use of geometric constructs and continuing examples makes the progression of ideas appear very natural. Includes pseudocode for computing algorithms.

Authors: Bates Douglas M., Watts Donald G.  Pages: 371 Year: 1988 
Tags: nonlinear (wiley probability regression series applications analysis statistics)   Customers who bought this item also bought: 