Asymptotic Skewness in Exponential Family Nonlinear Models
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
20/10/2012
20/10/2012
2009
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Resumo |
In this article, we give an asymptotic formula of order n(-1/2), where n is the sample size, for the skewness of the distributions of the maximum likelihood estimates of the parameters in exponencial family nonlinear models. We generalize the result by Cordeiro and Cordeiro ( 2001). The formula is given in matrix notation and is very suitable for computer implementation and to obtain closed form expressions for a great variety of models. Some special cases and two applications are discussed. CAPES/Brazil Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) FAPESP/Brazil CNPq/Brazil Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) |
Identificador |
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, v.38, n.14, p.2275-2287, 2009 0361-0926 http://producao.usp.br/handle/BDPI/30510 10.1080/03610920802527072 |
Idioma(s) |
eng |
Publicador |
TAYLOR & FRANCIS INC |
Relação |
Communications in Statistics-theory and Methods |
Direitos |
restrictedAccess Copyright TAYLOR & FRANCIS INC |
Palavras-Chave | #Asymptotic expansion #Exponencial family #Maximum likelihood estimate #Non-linear model #Skewness #GENERALIZED LINEAR-MODELS #Statistics & Probability |
Tipo |
article original article publishedVersion |