Abstract
A general review is given of statistical methods for nonlinear regression situations and some associated problems are mentioned. After general preliminary comments, a number of types of nonlinear model are outlined. Their parameterization is then examined. Analysis of residuals, with some emphasis on nonlinear models, is then considered and finally transformations of response and explanatory variable are discussed.

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