Convergence of Neutrosophic Random Variables

GRANADOS, Carlos

doi:10.31197/atnaa.1145837

Cited by 7 publications

(8 citation statements)

References 21 publications

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“…Los resultados presentados en este artículo, podría ser una base fundamental para comprobar si estas nociones se satisfacen en n-dimenciones. A su vez, estas nociones podrian ser extendidas para variables aleatorias neutrosóficas las cuales han sido estudiadas por [1,4,5].…”

Section: Consecuentemente Tenemos Queunclassified

Teoremas de aproximación de sumabilidad de variables aleatorias triples

Granados

2022

Cienc. En Desarro.

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Section: Consecuentemente Tenemos Queunclassified

Teoremas de aproximación de sumabilidad de variables aleatorias triples

Granados

2022

Cienc. En Desarro.

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“…36 , 37 and 38 investigated the neutrosophic time series. Recently, many authors studied the neutrosophic random variables see 39 , 40 inserted the new notions on neutrosophic random variables. Granados and Sanabria 41 studied independence neutrosophic random variables.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, many authors studied the neutrosophic random variables see 39 , 40 inserted the new notions on neutrosophic random variables. Granados and Sanabria 41 studied independence neutrosophic random variables. Neutrosophic has many applications in many fields such as decision making, machine learning, intelligent disease diagnosis, communication services, pattern recognition, social network analysis and e-learning systems, physics, sequences spaces and so on for more details see 27 , 42 – 51 and 52 .…”

Section: Introductionmentioning

confidence: 99%

Birnbaum Saunders distribution for imprecise data: statistical properties, estimation methods, and real life applications

Hassan,

Aslam

2024

Sci Rep

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A neutrosophic statistic is a random variable and it has a neutrosophic probability distribution. So, in this paper, we introduce the new neutrosophic Birnbaum–Saunders distribution. Some statistical properties are derived, using Mathematica 13.1.1 and R-Studio Software. Two different estimation methods for parameters estimation are introduced for new distribution: maximum likelihood estimation method and Bayesian estimation method. A Monte-Carlo simulation study is used to investigate the behavior of parameters estimates of new distribution, compare the performance of different estimates, and compare between our distribution and the classical version of Birnbaum–Saunders. Finally, study the validity of our new distribution in real life.

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“…Zeina and Hatip [ 34 ] introduced the first concept of neutrosophic random variables, in addition to fundamental ideas. Far ahead, Granados [ 19 ] demonstrated new ideas about neutrosophic random variables, and Granados [ 20 ] investigated the independence of neutrosophic random variables.…”

Section: Introductionmentioning

confidence: 99%

A new one-parameter discrete probability distribution with its neutrosophic extension: mathematical properties and applications

Haq

Zafar

2023

Int J Data Sci Anal

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Count data modeling’s significance and its applicability to real-world occurrences have been emphasized in a number of research studies. The purpose of this work is to introduce a new one-parameter discrete distribution for the modeling of count datasets. Some mathematical properties, such as reliability measures, characteristic function, moment-generating function, and associated measurements, such as mean, variance, skewness, kurtosis, and index of dispersion, have been derived and studied. The nature of the probability mass function and failure rate function has been studied graphically. The model parameter is estimated using renowned maximum likelihood estimation methods. A neutrosophic extension of the new model is also introduced for the modeling of interval datasets. In addition, the proposed distribution’s applicability was compared to that of other discrete distributions. The study’s findings show that the novel discrete distribution is a very appealing alternative to some other discrete competitive distributions.

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Convergence of Neutrosophic Random Variables

Cited by 7 publications

References 21 publications

Teoremas de aproximación de sumabilidad de variables aleatorias triples

Teoremas de aproximación de sumabilidad de variables aleatorias triples

Birnbaum Saunders distribution for imprecise data: statistical properties, estimation methods, and real life applications

A new one-parameter discrete probability distribution with its neutrosophic extension: mathematical properties and applications

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