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. © 2013 IFIP International Federation for Information Processing.
CITATION STYLE
Krupiński, R. (2013). Modified moment method estimator for the shape parameter of generalized Gaussian distribution for a small sample size. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8104 LNCS, pp. 420–429). https://doi.org/10.1007/978-3-642-40925-7_39
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