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leverage-based weights are employed for the mean and covariance to achieve robustness against outliers. The resulting …
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The family of density power divergences is an useful class which generates robust parameter estimates with high efficiency. None of these divergences require any non-parametric density estimate to carry out the inference procedure. However, these divergences have so far not been used effectively...
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the MDPDE is consistent and asymptotically normal. A simulation study demonstrates the strong robustness of the MDPDE …
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tails. The estimator shows good robustness properties and stands out for its simplicity. A tuning parameter allows for … regulating the trade-off between robustness and efficiency. Small sample properties are illustrated by a simulation study …
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