On the Asymptotic Normality of the Method of Moments Estimators for the Birnbaum–Saunders Distribution with a New Parametrization

This study investigates the asymptotic properties of method-of-moments estimators for the Birnbaum–Saunders distribution under a newly proposed parametrization. Theoretical derivations establish the asymptotic normality of these estimators, supported by explicit expressions for the mean vector and v...

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Main Authors: Piyapatr Busababodhin, Tossapol Phoophiwfa, Andrei Volodin, Sujitta Suraphee
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/13/4/636
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author Piyapatr Busababodhin
Tossapol Phoophiwfa
Andrei Volodin
Sujitta Suraphee
author_facet Piyapatr Busababodhin
Tossapol Phoophiwfa
Andrei Volodin
Sujitta Suraphee
author_sort Piyapatr Busababodhin
collection DOAJ
description This study investigates the asymptotic properties of method-of-moments estimators for the Birnbaum–Saunders distribution under a newly proposed parametrization. Theoretical derivations establish the asymptotic normality of these estimators, supported by explicit expressions for the mean vector and variance–covariance matrix. Simulation studies validate these results across various sample sizes and parameter values. A practical application is demonstrated through modeling cumulative rainfall data from northeastern Thailand, highlighting the distribution’s suitability for extreme weather prediction.
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series Mathematics
spelling doaj-art-3381fc04a1014ff4b5bd19ecbea81b2f2025-08-20T02:03:31ZengMDPI AGMathematics2227-73902025-02-0113463610.3390/math13040636On the Asymptotic Normality of the Method of Moments Estimators for the Birnbaum–Saunders Distribution with a New ParametrizationPiyapatr Busababodhin0Tossapol Phoophiwfa1Andrei Volodin2Sujitta Suraphee3Department of Mathematics, Mahasarakham University, Maha Sarakham 44150, ThailandDepartment of Mathematics, Mahasarakham University, Maha Sarakham 44150, ThailandDepartment of Mathematics and Statistics, University of Regina, Saskatchewan, SK S4S 0A2, CanadaDepartment of Mathematics, Mahasarakham University, Maha Sarakham 44150, ThailandThis study investigates the asymptotic properties of method-of-moments estimators for the Birnbaum–Saunders distribution under a newly proposed parametrization. Theoretical derivations establish the asymptotic normality of these estimators, supported by explicit expressions for the mean vector and variance–covariance matrix. Simulation studies validate these results across various sample sizes and parameter values. A practical application is demonstrated through modeling cumulative rainfall data from northeastern Thailand, highlighting the distribution’s suitability for extreme weather prediction.https://www.mdpi.com/2227-7390/13/4/636Birnbaum–Saunders distributionmethod of moments estimationasymptotic normalitydelta methodreturn level
spellingShingle Piyapatr Busababodhin
Tossapol Phoophiwfa
Andrei Volodin
Sujitta Suraphee
On the Asymptotic Normality of the Method of Moments Estimators for the Birnbaum–Saunders Distribution with a New Parametrization
Mathematics
Birnbaum–Saunders distribution
method of moments estimation
asymptotic normality
delta method
return level
title On the Asymptotic Normality of the Method of Moments Estimators for the Birnbaum–Saunders Distribution with a New Parametrization
title_full On the Asymptotic Normality of the Method of Moments Estimators for the Birnbaum–Saunders Distribution with a New Parametrization
title_fullStr On the Asymptotic Normality of the Method of Moments Estimators for the Birnbaum–Saunders Distribution with a New Parametrization
title_full_unstemmed On the Asymptotic Normality of the Method of Moments Estimators for the Birnbaum–Saunders Distribution with a New Parametrization
title_short On the Asymptotic Normality of the Method of Moments Estimators for the Birnbaum–Saunders Distribution with a New Parametrization
title_sort on the asymptotic normality of the method of moments estimators for the birnbaum saunders distribution with a new parametrization
topic Birnbaum–Saunders distribution
method of moments estimation
asymptotic normality
delta method
return level
url https://www.mdpi.com/2227-7390/13/4/636
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