Nonlinear Estimation.

Gavin J. S. Ross. New York: Springer-Verlag, ...

Nonlinear Estimation.

Gavin J. S. Ross. New York: Springer-Verlag, 1990. viii + 189 pp.

$39.

The topic of this book is the fitting of nonlinear models using maximum likelihood. Unlike most of the literature on nonlinear models, notably Ratkowsky (1983), Gallant (1987), Seber and Wild (1989), and Bates and Watts (1988), normality, and hence least squares, is not central to the presentation, but general error distributions can be assumed. A severe limitation of this book is that almost all of the material that is unique here, and all of the examples, assume models with a single predictor but with more than one parameter to be estimated. Potential readers who ...

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