Local influence in estimating equations
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
|---|---|
| Data(s) |
20/10/2012
20/10/2012
2011
|
| Resumo |
Local influence diagnostics based on estimating equations as the role of a gradient vector derived from any fit function are developed for repeated measures regression analysis. Our proposal generalizes tools used in other studies (Cook, 1986: Cadigan and Farrell, 2002), considering herein local influence diagnostics for a statistical model where estimation involves an estimating equation in which all observations are not necessarily independent of each other. Moreover, the measures of local influence are illustrated with some simulated data sets to assess influential observations. Applications using real data are presented. (C) 2010 Elsevier B.V. All rights reserved. CNPq Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) FAPESP Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) |
| Identificador |
COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.55, n.4, p.1867-1883, 2011 0167-9473 http://producao.usp.br/handle/BDPI/30443 10.1016/j.csda.2010.10.020 |
| Idioma(s) |
eng |
| Publicador |
ELSEVIER SCIENCE BV |
| Relação |
Computational Statistics & Data Analysis |
| Direitos |
restrictedAccess Copyright ELSEVIER SCIENCE BV |
| Palavras-Chave | #Diagnostic techniques #Local influence #Generalized estimating equations #Repeated measures #Longitudinal data #GENERALIZED LINEAR-MODELS #LONGITUDINAL DATA-ANALYSIS #CURVATURE #Computer Science, Interdisciplinary Applications #Statistics & Probability |
| Tipo |
article original article publishedVersion |
