1996 | OriginalPaper | Buchkapitel
Generalized Nonlinear Models
verfasst von : Peter W. Lane
Erschienen in: COMPSTAT
Verlag: Physica-Verlag HD
Enthalten in: Professional Book Archive
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Use of the generalized linear model framework makes it possible to fit a wide range of nonlinear models by a relatively fast and robust method. This involves fitting generalized linear models at each stage of a nonlinear search for a few of the parameters in the model. Applications include probit and logit analysis with control mortality, estimation of transformations for explanatory variables, and additive models requiring adjustment of a smoothing variable.