A classification of nonlinear regression models and parameter confidence regions
Andrej Pázman (1992)
Kybernetika
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Andrej Pázman (1992)
Kybernetika
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Lubomír Kubáček, Eva Fišerová (2003)
Mathematica Slovaca
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Anna Jenčová (2000)
Applications of Mathematics
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In the case of the nonlinear regression model, methods and procedures have been developed to obtain estimates of the parameters. These methods are much more complicated than the procedures used if the model considered is linear. Moreover, unlike the linear case, the properties of the resulting estimators are unknown and usually depend on the true values of the estimated parameters. It is sometimes possible to approximate the nonlinear model by a linear one and use the much more developed...