Covariance matrix formula for Birnbaum-Saunders regression models
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
20/10/2012
20/10/2012
2011
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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 |
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 |