Dual $φ$-divergences estimation in normal models

Statistics – Computation

Scientific paper

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Scientific paper

A class of robust estimators which are obtained from dual representation of
$\phi$-divergences, are studied empirically for the normal location model.
Members of this class of estimators are compared, and it is found that they are
efficient at the true model and offer an attractive alternative to the maximum
likelihood, in term of robustness .

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