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Meridian estimator performance for samples of generalized Gaussian distribution | IEEE Conference Publication | IEEE Xplore

Meridian estimator performance for samples of generalized Gaussian distribution


Abstract:

Recently, a sample meridian estimator of location parameter (LP) has been proposed. It has been shown to be robust and adjustable by means of tunable parameter δ. Basic p...Show More

Abstract:

Recently, a sample meridian estimator of location parameter (LP) has been proposed. It has been shown to be robust and adjustable by means of tunable parameter δ. Basic properties of this estimator were studied; however its practical behavior needs further analysis. In this paper, we study and analyze the efficiency of the meridian estimator for samples with essentially different properties. For this purpose, we use generalized Gaussian distribution as a model. Also, the efficiency of the meridian estimator is compared to the efficiency of median and myriad estimators.
Date of Conference: 06-08 September 2010
Date Added to IEEE Xplore: 28 October 2010
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ISSN Information:

Conference Location: Kyiv, Ukraine

References

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