Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/56059
Authors: 
Klein, Ingo
Ardelean, Vlad
Year of Publication: 
2012
Series/Report no.: 
Diskussionspapiere, Friedrich-Alexander-Universität Erlangen-Nürnberg, Lehrstuhl für Statistik und Ökonometrie 88/2010
Abstract: 
Li, Fang & Tian (1994) assert that special quasi-linear means should be preferred to the simple arithmetic mean for robustness properties. The strategy that is used to show robustness is completely detached from the concepts wellknown from the theory of robust statistics. Robustness of estimators can be verified with tools from robust statistics, e.g. the influence function or the breakdown point. On the other hand it seems that robust statistics is not interested in quasi-linear means. Therefore, we compute influence functions and breakdown points for quasi-linear means and show that these means are not robust in the sense of robust statistics if the generator is unbounded. As special cases we consider the Laspeyres, the Paasche and the Fisher indices.
Subjects: 
quasi-linear mean
robustness
influence function
breakdown point
Laspeyres index
Paasche index
Fisher index
Document Type: 
Working Paper

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