Influence Assessment in an Heteroscedastic Errors-in-Variables Model
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
|---|---|
| Data(s) |
29/10/2013
29/10/2013
2012
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| Resumo |
The main goal of this article is to consider influence assessment in models with error-prone observations and variances of the measurement errors changing across observations. The techniques enable to identify potential influential elements and also to quantify the effects of perturbations in these elements on some results of interest. The approach is illustrated with data from the WHO MONICA Project on cardiovascular disease. FONDECYT, Chile [1070919, 11103181] FONDECYT (Chile) |
| Identificador |
Communications in Statistics - Theory and Methods, Philadelphia, v. 41, n. 8, supl. 1, Part 3, p. 1350-1363, may, 2012 0361-0926 http://www.producao.usp.br/handle/BDPI/36374 10.1080/03610926.2010.543301 |
| Idioma(s) |
eng |
| Publicador |
Taylor and Francis Group, LLC Philadelphia |
| Relação |
Communications in Statistics - Theory and Methods |
| Direitos |
restrictedAccess Copyright Taylor and Francis Group, LLC |
| Palavras-Chave | #CASE DELETION #EM ALGORITHM #EQUATION-ERROR MODELS #ERRORS-IN-VARIABLES MODELS #LOCAL INFLUENCE #LINEAR MIXED MODELS #LOCAL INFLUENCE #INCOMPLETE-DATA #REGRESSION #ESTATÍSTICA APLICADA #REGRESSÃO LINEAR #STATISTICS & PROBABILITY |
| Tipo |
article original article publishedVersion |
