Covariance matrix formula for Birnbaum-Saunders regression models


Autoria(s): LEMONTE, Artur J.
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

20/10/2012

20/10/2012

2011

Resumo

The Birnbaum-Saunders regression model is commonly used in reliability studies. We derive a simple matrix formula for second-order covariances of maximum-likelihood estimators in this class of models. The formula is quite suitable for computer implementation, since it involves only simple operations on matrices and vectors. Some simulation results show that the second-order covariances can be quite pronounced in small to moderate sample sizes. We also present empirical applications.

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

FAPESP (Brazil)

Identificador

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, v.81, n.7, p.899-908, 2011

0094-9655

http://producao.usp.br/handle/BDPI/30770

10.1080/00949650903555288

http://dx.doi.org/10.1080/00949650903555288

Idioma(s)

eng

Publicador

TAYLOR & FRANCIS LTD

Relação

Journal of Statistical Computation and Simulation

Direitos

restrictedAccess

Copyright TAYLOR & FRANCIS LTD

Palavras-Chave #asymptotic expansion #Birnbaum-Saunders distribution #covariance matrix #fatigue life distribution #lifetime data #maximum-likelihood estimation #GENERALIZED LINEAR-MODELS #LIFE DISTRIBUTIONS #FAMILY #INFERENCE #Computer Science, Interdisciplinary Applications #Statistics & Probability
Tipo

article

original article

publishedVersion