Title : ( Neutrosophic Birnbaum-Saunders distribution with applications )
Authors: Mansooreh Razmkhah , Mohammad Arashi , A. Bekker , Filipe J. Marques ,
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Abstract
This paper presents an extension of the Birnbaum-Saunders distribution through the incorporation of neutrosophic concepts, aimed at effectively addressing data that is characterized by imprecision, uncertainty, and incompleteness. Our model delivers maximum likelihood parameter estimates, effectively capturing the complete spectrum of interval-based values without compromise. We showcase its benefits in industrial and environmental applications, emphasizing its effectiveness in analyzing uncertain data within real-world scenarios, surpassing traditional statistical methods.
Keywords
, Air pollution data, Birnbaum-Saunders distribution, Environmental data analysis, Fatigue life data, Industrial data modelling, Indeterminacy, Maximum likelihood estimation, Neutrosophic random variables, Nitrogen oxides emissions
@article{paperid:1103725,
author = {رزمخواه، م and Arashi, Mohammad and بکر، آ and مارکس، ف.},
title = {Neutrosophic Birnbaum-Saunders distribution with applications},
journal = {Applied Mathematical Modelling},
year = {2026},
volume = {149},
month = {January},
issn = {0307-904X},
pages = {116287--116287},
numpages = {0},
keywords = {Air pollution data; Birnbaum-Saunders distribution; Environmental data analysis; Fatigue life data; Industrial data modelling; Indeterminacy; Maximum likelihood estimation; Neutrosophic random variables; Nitrogen oxides emissions},
}
%0 Journal Article
%T Neutrosophic Birnbaum-Saunders distribution with applications
%A رزمخواه، م
%A Arashi, Mohammad
%A بکر، آ
%A مارکس، ف.
%J Applied Mathematical Modelling
%@ 0307-904X
%D 2026
