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EN
In this paper we present selected aspects of data depth concept. We propose several statistical procedures based on data depth concept. We study a performance of the propositions on various multivariate data sets simulated from skewed, fat tailed distributions and mixtures of them.
PL
In this paper we study the properties of the location-scale depth procedures introduced by Mizera & Müller and look into the probabilistic information of the underlying time series model carried by them. We focus our attention on short term multivariate quantile based description of the possible time series model. We study robustness and utility of such the description in a decision making process. In particular we investigate properties of the moving Student median (two dimensional Tukey median in a location–scale problem).
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