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handle: 2099/13277 , 20.500.11797/RP2357
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.
Peer Reviewed
Estadística matemàtica, Classificació AMS::62 Statistics::62J Linear inference, Linear mixed measurement, mean shift outlier model, Classificació AMS::62 Statistics::62J Linear inference, regression, case deletion, Case deletion, Error models, linear mixed measurement error models, Mathematical statistics, Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica, :Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC], Corrected score method, :62 Statistics::62J Linear inference, regression [Classificació AMS], Mean shift outlier model, regression, influential points, Influential points, Regression analysis, corrected score method
Estadística matemàtica, Classificació AMS::62 Statistics::62J Linear inference, Linear mixed measurement, mean shift outlier model, Classificació AMS::62 Statistics::62J Linear inference, regression, case deletion, Case deletion, Error models, linear mixed measurement error models, Mathematical statistics, Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica, :Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC], Corrected score method, :62 Statistics::62J Linear inference, regression [Classificació AMS], Mean shift outlier model, regression, influential points, Influential points, Regression analysis, corrected score method
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