Nonlinear Regression (Wiley Series in Probability and Statistics)

This text/reference provides a broad survey of aspects of model-building and statistical inference. Presents an accessible synthesis of current theoretical literature, requiring only familiarity with linear regression methods. The three chapters on central computational questions comprise a self-contained introduction to unconstrained optimization. Includes many illustrative practical examples.George A. F. Seber is the author of 'Nonlinear Regression (Wiley Series in Probability and Statistics)' with ISBN 9780471617600 and ISBN 0471617601.