Diagnostic measures for linear mixed measurement error models

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Document typeArticle
Defense date2011
PublisherInstitut d'Estadística de Catalunya
Rights accessOpen Access
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Abstract
In this paper, we present case deletion and mean shift outlie
r models for linear mixed measure-
ment error models using the corrected likelihood of Nakamur
a (1990). We derive the corrected
score test statistic for outliers detection based on mean sh
ift outlier models. Furthermore, several
case deletion diagnostics are constructed as a tool for influ
ence diagnostics. It is found that they
can be written in terms of studentized residuals of model, er
ror contrast matrix and the inverse of
the response variable covariance matrix. Our influence diag
nostics are illustrated through a real
data set.
CitationZare, Karim; Rasekh, Abdolrahman. Diagnostic measures for linear mixed measurement error models. "SORT", vol. 35, núm. 2, p. 125-144.
ISSN1696-2281
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