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

Marwa K. Hassan
4.9/5 (10479 ratings)
Description: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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Birnbaum Saunders distribution for imprecise data: statistical properties, estimation methods, and real life applications. To get started finding Birnbaum Saunders distribution for imprecise data: statistical properties, estimation methods, and real life applications, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
16
Format
PDF, EPUB & Kindle Edition
Publisher
Infinite Study
Release
2024
ISBN
NJkLEQAAQBAJ

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

Marwa K. Hassan
4.4/5 (1290744 ratings)
Description: 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Birnbaum Saunders distribution for imprecise data: statistical properties, estimation methods, and real life applications. To get started finding Birnbaum Saunders distribution for imprecise data: statistical properties, estimation methods, and real life applications, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
16
Format
PDF, EPUB & Kindle Edition
Publisher
Infinite Study
Release
2024
ISBN
NJkLEQAAQBAJ

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