Application to Engineering and Medical Data Using Three-Parameter Exponential Model
This paper is devoted to a new lifetime distribution having three parameters by compound the exponential model and the transmuted Topp-Leone-G. The new proposed model is called the transmuted Topp-Leone exponential model; it is useful in lifetime data and reliability. The new model is very flexible;...
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Hindawi Limited
2021
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oai:doaj.org-article:9a75ae8f14e147e29d7ffd30b99b2d122021-11-15T01:18:55ZApplication to Engineering and Medical Data Using Three-Parameter Exponential Model1875-905X10.1155/2021/9550156https://doaj.org/article/9a75ae8f14e147e29d7ffd30b99b2d122021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9550156https://doaj.org/toc/1875-905XThis paper is devoted to a new lifetime distribution having three parameters by compound the exponential model and the transmuted Topp-Leone-G. The new proposed model is called the transmuted Topp-Leone exponential model; it is useful in lifetime data and reliability. The new model is very flexible; its pdf can be right skewness, unimodal, and decreasing shaped, but the hrf of the suggested model can be unimodal, constant, and decreasing. Numerous statistical characteristics of the new model, notably the quantile function, moments, incomplete moments, conditional moments, mean residual life, mean inactivity time, and entropy are produced and investigated. The system’s parameters are estimated using the maximum likelihood approach. All estimators should be theoretically convergent, which is supported by a simulation analysis. Finally, two real-world datasets from the engineering and medical disciplines explore the new model’s relevance and adaptability in comparison to the alternatives models such as the beta exponential, the Marshall–Olkin generalized exponential, the exponentiated Weibull, the modified Weibull, and the transmuted Burr type X models.Waleed AlmutiryAmani Abdullah AlahmadiIbrahim ElbatalIbrahim E. RagabOluwafemi Samson BalogunMohammed ElgarhyHindawi LimitedarticleTelecommunicationTK5101-6720ENMobile Information Systems, Vol 2021 (2021) |
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Telecommunication TK5101-6720 Waleed Almutiry Amani Abdullah Alahmadi Ibrahim Elbatal Ibrahim E. Ragab Oluwafemi Samson Balogun Mohammed Elgarhy Application to Engineering and Medical Data Using Three-Parameter Exponential Model |
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This paper is devoted to a new lifetime distribution having three parameters by compound the exponential model and the transmuted Topp-Leone-G. The new proposed model is called the transmuted Topp-Leone exponential model; it is useful in lifetime data and reliability. The new model is very flexible; its pdf can be right skewness, unimodal, and decreasing shaped, but the hrf of the suggested model can be unimodal, constant, and decreasing. Numerous statistical characteristics of the new model, notably the quantile function, moments, incomplete moments, conditional moments, mean residual life, mean inactivity time, and entropy are produced and investigated. The system’s parameters are estimated using the maximum likelihood approach. All estimators should be theoretically convergent, which is supported by a simulation analysis. Finally, two real-world datasets from the engineering and medical disciplines explore the new model’s relevance and adaptability in comparison to the alternatives models such as the beta exponential, the Marshall–Olkin generalized exponential, the exponentiated Weibull, the modified Weibull, and the transmuted Burr type X models. |
format |
article |
author |
Waleed Almutiry Amani Abdullah Alahmadi Ibrahim Elbatal Ibrahim E. Ragab Oluwafemi Samson Balogun Mohammed Elgarhy |
author_facet |
Waleed Almutiry Amani Abdullah Alahmadi Ibrahim Elbatal Ibrahim E. Ragab Oluwafemi Samson Balogun Mohammed Elgarhy |
author_sort |
Waleed Almutiry |
title |
Application to Engineering and Medical Data Using Three-Parameter Exponential Model |
title_short |
Application to Engineering and Medical Data Using Three-Parameter Exponential Model |
title_full |
Application to Engineering and Medical Data Using Three-Parameter Exponential Model |
title_fullStr |
Application to Engineering and Medical Data Using Three-Parameter Exponential Model |
title_full_unstemmed |
Application to Engineering and Medical Data Using Three-Parameter Exponential Model |
title_sort |
application to engineering and medical data using three-parameter exponential model |
publisher |
Hindawi Limited |
publishDate |
2021 |
url |
https://doaj.org/article/9a75ae8f14e147e29d7ffd30b99b2d12 |
work_keys_str_mv |
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_version_ |
1718428999015727104 |