On the confidence intervals of parametric functions for Distributions Generated by Symmetric Stable Laws

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 c...

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Bibliographic Details
Published in:Statistica (Bologna) 2012-01, Vol.72 (4), p.405-413
Main Authors: Farbod, Davood, Gasparian, Karen V
Format: Article
Language:eng ; ita
Subjects:
Analysis
Asymptotic methods
Bioinformatics
Confidence intervals
Normal distribution
Random variables
Skewness
Studies
Online Access:Get full text
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Summary: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 functions of the DSSD.
ISSN:0390-590X
1973-2201
DOI:10.6092/issn.1973-2201/3699