On the confidence intervals of parametric functions for Distributions Generated by Symmetric Stable Laws
DOI:
https://doi.org/10.6092/issn.1973-2201/3699Abstract
In this paper we consider “Discrete Distributions Generated by Standard Symmetric Stable Densities” (DSSD in short) arising in Bioinformatics (Astola and Danielian, 2007). Using well-known asymptotic properties of the maximum likelihood (ML) estimators we obtain the respective asymptotic confidence intervals for some useful parametric functionsof the DSSD.
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