Influence Assessment in an Heteroscedastic Errors-in-Variables Model |
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Authors: | Manuel Galea |
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Institution: | Departamento de Estadística , Pontificia Universidad Católica de Chile , Santiago , Chile |
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Abstract: | 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. |
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Keywords: | Case deletion EM algorithm Equation-error models Errors-in-variables models Local influence |
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