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Toutenburg, Helge and Fieger, A. (2000): Using diagnostic measures to detect non-MCAR processes in linear regression models with missing covariates. Collaborative Research Center 386, Discussion Paper 204 [PDF, 259kB]


This paper presents methods to analyze and detect non-MCAR processes that lead to missing covariate values in linear regression models. First, the data situation and the problem is sketched. The next section provides an overview of the methods that deal with missing covariate values. The idea of using outlier methods to detect non-MCAR processes is described in section 3. Section 4 uses these ideas to introduce a graphical method to visualize the problem. Possible extensions conclude the presentation.

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