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- W2056559424 abstract "A nonparametric minimum Hellinger distance estimator of location is introduced and shown to be asymptotically efficient at every symmetric density with finite Fisher information. Under small, possibly asymmetric, perturbations in such a density, the estimator is asymptotically robust in a technical sense which extends Hajek's concept of regularity. A numerical example illustrates the computational feasibility of the estimator and its resistance to an arbitrary single outlier." @default.
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- W2056559424 date "1978-03-01" @default.
- W2056559424 modified "2023-09-23" @default.
- W2056559424 title "An Efficient and Robust Adaptive Estimator of Location" @default.
- W2056559424 doi "https://doi.org/10.1214/aos/1176344125" @default.
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