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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.
1Paper given at the 2nd International Summer School on Problems of Model Choice and Parameter Estimation in Regression Analysis, Reinhardsbrunn (G.D.R.), November 1975.
1Paper given at the 2nd International Summer School on Problems of Model Choice and Parameter Estimation in Regression Analysis, Reinhardsbrunn (G.D.R.), November 1975.
Notes
1Paper given at the 2nd International Summer School on Problems of Model Choice and Parameter Estimation in Regression Analysis, Reinhardsbrunn (G.D.R.), November 1975.