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Conference Papers Year : 2013

Modified Moment Method Estimator for the Shape Parameter of Generalized Gaussian Distribution for a Small Sample Size

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Abstract

The moment method (MM) estimator for the shape parameter of generalized Gaussian distribution (GGD) assume asymptotic case when there is available infinite number of observations, but with the smaller sample size the variance of the estimator increases and the moment method equation may not converge to a real solution for some sample sets. The higher order moments can be expanded into series in the moment method equation leading to a drop in the relative mean square error (RMSE) and assuring a solution for a smaller sample size comparing to the moment method without modification.
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Dates and versions

hal-01496087 , version 1 (27-03-2017)

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Attribution - CC BY 4.0

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Robert Krupiński. Modified Moment Method Estimator for the Shape Parameter of Generalized Gaussian Distribution for a Small Sample Size. 12th International Conference on Information Systems and Industrial Management (CISIM), Sep 2013, Krakow, Poland. pp.420-429, ⟨10.1007/978-3-642-40925-7_39⟩. ⟨hal-01496087⟩
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