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.C. J. Wild is the author of 'Nonlinear Regression (Wiley Series in Probability and Statistics)' with ISBN 9780471617600 and ISBN 0471617601.