Titlebook: Developments in Robust Statistics; International Confer Rudolf Dutter,Peter Filzmoser,Peter J. Rousseeuw Conference proceedings 2003 Spring

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https://doi.org/10.1007/978-981-19-0500-1istics and time series. In such situations, existing definitions typically fail because parameters can sometimes breakdown to zero, i.e. the center of the parameter space. The reason is that these definitions center around defining an explicit critical region for either the parameter or the objectiv

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Fluid Management in Perioperative Perioddels of time series are used: trend models under “outliers” and functional distortions, regression models under “outliers” and “errors-in-regressors”, autoregressive time series with parameter specification errors and non-homogeneous innovations. Robustness characteristics based on the mean square r

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Women and Education in Muslim Contextclass of atomic measures, this depth determines the measure. Here we extend this characterization result for the class of absolutely continuous measures for which the function exp() is integrable with any.. Three issues play a key role in proving this characterization. The first, the Tukey med

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