A new extended distribution: properties, inference and applications in modeling of physical and natural phenomenon
Objectives: This paper deals with an extension of the Ishita distribution alongside a new family of distributions based upon the proposed extension. Methods: Some useful properties of the extended Ishita distribution are discussed. Estimation of the parameter has also been done by using different es...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Elsevier
2022-11-01
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Series: | Journal of King Saud University: Science |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1018364722005158 |
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author | Saman Hanif Shahbaz Aisha Fayomi |
author_facet | Saman Hanif Shahbaz Aisha Fayomi |
author_sort | Saman Hanif Shahbaz |
collection | DOAJ |
description | Objectives: This paper deals with an extension of the Ishita distribution alongside a new family of distributions based upon the proposed extension. Methods: Some useful properties of the extended Ishita distribution are discussed. Estimation of the parameter has also been done by using different estimation. The extended Ishita distribution has been used to obtain a new family of distributions. Some members of the family have been discussed. Results and conclusions: The extended Ishita distribution is applied on some real data sets to check the goodness of fit of the distribution. It is found that the proposed distribution is more suitable in modeling the data used as compared with the competing distributions. |
first_indexed | 2024-04-13T14:31:10Z |
format | Article |
id | doaj.art-ebb5968710314b4e958998a35cf0449c |
institution | Directory Open Access Journal |
issn | 1018-3647 |
language | English |
last_indexed | 2024-04-13T14:31:10Z |
publishDate | 2022-11-01 |
publisher | Elsevier |
record_format | Article |
series | Journal of King Saud University: Science |
spelling | doaj.art-ebb5968710314b4e958998a35cf0449c2022-12-22T02:43:12ZengElsevierJournal of King Saud University: Science1018-36472022-11-01348102334A new extended distribution: properties, inference and applications in modeling of physical and natural phenomenonSaman Hanif Shahbaz0Aisha Fayomi1Department of Statistics, King Abdulaziz University, Jeddah, Saudi ArabiaDepartment of Statistics, King Abdulaziz University, Jeddah, Saudi ArabiaObjectives: This paper deals with an extension of the Ishita distribution alongside a new family of distributions based upon the proposed extension. Methods: Some useful properties of the extended Ishita distribution are discussed. Estimation of the parameter has also been done by using different estimation. The extended Ishita distribution has been used to obtain a new family of distributions. Some members of the family have been discussed. Results and conclusions: The extended Ishita distribution is applied on some real data sets to check the goodness of fit of the distribution. It is found that the proposed distribution is more suitable in modeling the data used as compared with the competing distributions.http://www.sciencedirect.com/science/article/pii/S1018364722005158Ishita distributionMomentsEntropyT–X familyMaximum likelihood estimation |
spellingShingle | Saman Hanif Shahbaz Aisha Fayomi A new extended distribution: properties, inference and applications in modeling of physical and natural phenomenon Journal of King Saud University: Science Ishita distribution Moments Entropy T–X family Maximum likelihood estimation |
title | A new extended distribution: properties, inference and applications in modeling of physical and natural phenomenon |
title_full | A new extended distribution: properties, inference and applications in modeling of physical and natural phenomenon |
title_fullStr | A new extended distribution: properties, inference and applications in modeling of physical and natural phenomenon |
title_full_unstemmed | A new extended distribution: properties, inference and applications in modeling of physical and natural phenomenon |
title_short | A new extended distribution: properties, inference and applications in modeling of physical and natural phenomenon |
title_sort | new extended distribution properties inference and applications in modeling of physical and natural phenomenon |
topic | Ishita distribution Moments Entropy T–X family Maximum likelihood estimation |
url | http://www.sciencedirect.com/science/article/pii/S1018364722005158 |
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