Asymptotic Skewness in Exponential Family Nonlinear Models


Autoria(s): CAVALCANTI, Alexsandro B.; CORDEIRO, Gauss M.; BOTTER, Denise A.; BARROSO, Lucia P.
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

20/10/2012

20/10/2012

2009

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

http://dx.doi.org/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