Improved likelihood-based inference in Birnbaum–Saunders nonlinear regression models
We address the issue of performing testing inference in Birnbaum–Saunders nonlinear re- gression models when the sample size is small. The likelihood ratio, Wald and score statis- tics provide the basis for testing inference on the parameters in this class of models. We focus on the small-sample cas...
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| Principais autores: | , , |
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
Applied Mathematical Modelling
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/25455 |
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