Use este identificador para citar ou linkar para este item:
https://repositorio.ufba.br/handle/ri/7614
Registro completo de metadados
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Cordeiro, Gauss Moutinho | - |
dc.contributor.author | Botter, Denise Aparecida | - |
dc.creator | Cordeiro, Gauss Moutinho | - |
dc.creator | Botter, Denise Aparecida | - |
dc.date.accessioned | 2012-12-17T17:33:43Z | - |
dc.date.issued | 2001 | - |
dc.identifier.issn | 0167-7152 | - |
dc.identifier.uri | http://www.repositorio.ufba.br/ri/handle/ri/7614 | - |
dc.description | Texto completo: acesso restrito. p. 269–280 | pt_BR |
dc.description.abstract | In this paper, we derive general formulae for second-order biases of maximum likelihood estimates in overdispersed generalized linear models, thus generalizing results by Cordeiro and McCullagh (J. Roy. Statist. Soc. Ser. B 53 (1991) 629), and Botter and Cordeiro (Statist. Comput. Simul. 62 (1998) 91). Our formulae cover many important and commonly used models and are easily implemented by means of supplementary weighted linear regressions. They are also simple enough to be used algebraically to obtain several closed-form expressions in special models. The practical use of such formulae is illustrated in a simulation study. | pt_BR |
dc.language.iso | en | pt_BR |
dc.source | http://dx.doi.org/10.1016/S0167-7152(01)00150-X | pt_BR |
dc.subject | Bias correction | pt_BR |
dc.subject | Exponential family | pt_BR |
dc.subject | Generalized linear model | pt_BR |
dc.subject | Link function | pt_BR |
dc.subject | Maximum likelihood estimate | pt_BR |
dc.subject | Overdispersion | pt_BR |
dc.title | Second-order biases of maximum likelihood estimates in overdispersed generalized linear models | pt_BR |
dc.title.alternative | Statistics and Probability Letters | pt_BR |
dc.type | Artigo de Periódico | pt_BR |
dc.identifier.number | v. 55, n. 3 | pt_BR |
dc.embargo.liftdate | 10000-01-01 | - |
Aparece nas coleções: | Artigo Publicado em Periódico (PGMAT) |
Arquivos associados a este item:
Não existem arquivos associados a este item.
Os itens no repositório estão protegidos por copyright, com todos os direitos reservados, salvo quando é indicado o contrário.