Minimum Hellinger Distance Estimates for Parametric Models
نویسندگان
چکیده
منابع مشابه
Efficient Hellinger distance estimates for semiparametric models
Minimum distance techniques have become increasingly important tools for solving statistical estimation and inference problems. In particular, the successful application of the Hellinger distance approach to fully parametric models is well known. The corresponding optimal estimators, known as minimum Hellinger distance estimators, achieve efficiency at the model density and simultaneously posse...
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Optimal robust M-estimates of a multidimensional parameter are described using Hampel’s infinitesimal approach. The optimal estimates are derived by minimizing a measure of efficiency under the model, subject to a bounded measure of infinitesimal robustness. To this purpose we define measures of efficiency and infinitesimal sensitivity based on the Hellinger distance. We show that these two mea...
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ژورنال
عنوان ژورنال: The Annals of Statistics
سال: 1977
ISSN: 0090-5364
DOI: 10.1214/aos/1176343842