Considerations about nonlinear regression
Differently from linear regression models, where the quality and validity of a proposed model are checked through regression diagnostic methods, for nonlinear models, we should consider additional diagnostic methods. These special diagnostic methods for nonlinear regression models measure the nonlin...
| Autores: | , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2008 |
| País: | Brasil |
| Recursos: | Universidade Estadual de Maringá (UEM) |
| Repositorio: | Acta scientiarum. Technology (Online) |
| Idioma: | portugués |
| OAI Identifier: | oai:periodicos.uem.br/ojs:article/2551 |
| Acesso em linha: | http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/2551 |
| Access Level: | acceso abierto |
| Palavra-chave: | modelos de regressão não linear medidas de curvatura medida de vício métodos de simulação medidas de assimetria 1.02.02.00-5 Estatística |
| Resumo: | Differently from linear regression models, where the quality and validity of a proposed model are checked through regression diagnostic methods, for nonlinear models, we should consider additional diagnostic methods. These special diagnostic methods for nonlinear regression models measure the nonlinearity amount of the proposed model. Nonlinear models with behavior too different from linear models could invalidate the asymptotical results, used to get interest inferences, especially in small-sized samples. In this paper, an overview of the main nonlinearity checking methods is offered. In particular, Bates and Watts curvature measures, Box bias measure, simulation methods use and some nonsymmetry measures are focused. |
|---|