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Half logistic-truncated exponential distribution: Characteristics and applications

Gul and Mohsin 2021 developed a new modified form of renowned “Half logistic” distribution introduced by Balakrishnan (1991) and named it half logistic-truncated exponential distribution (HL-TEXPD). Some mathematical characteristics are studied, including hazard function, P(th) percentile, moment ge...

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Detalles Bibliográficos
Autores principales: Gul, Ahtasham, Sandhu, Amjad Javaid, Farooq, Muhammad, Adil, Muhammad, Hassan, Yasir, Khan, Faridoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645298/
https://www.ncbi.nlm.nih.gov/pubmed/37963157
http://dx.doi.org/10.1371/journal.pone.0285992
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author Gul, Ahtasham
Sandhu, Amjad Javaid
Farooq, Muhammad
Adil, Muhammad
Hassan, Yasir
Khan, Faridoon
author_facet Gul, Ahtasham
Sandhu, Amjad Javaid
Farooq, Muhammad
Adil, Muhammad
Hassan, Yasir
Khan, Faridoon
author_sort Gul, Ahtasham
collection PubMed
description Gul and Mohsin 2021 developed a new modified form of renowned “Half logistic” distribution introduced by Balakrishnan (1991) and named it half logistic-truncated exponential distribution (HL-TEXPD). Some mathematical characteristics are studied, including hazard function, P(th) percentile, moment generating function and Shannon entropy. Simulation study is performed to examine the behaviour of parameter estimates. The proposed model is fitted on three real data sets to check its efficacy. Additionally, TTT (total time on test) plot is drawn to study the failure rate of the three data sets. The results verdict that HL-TEXPD can be efficiently utilized in the field of engineering and medical sciences based on the data sets under study contrary to the classical and baseline models.
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spelling pubmed-106452982023-11-14 Half logistic-truncated exponential distribution: Characteristics and applications Gul, Ahtasham Sandhu, Amjad Javaid Farooq, Muhammad Adil, Muhammad Hassan, Yasir Khan, Faridoon PLoS One Research Article Gul and Mohsin 2021 developed a new modified form of renowned “Half logistic” distribution introduced by Balakrishnan (1991) and named it half logistic-truncated exponential distribution (HL-TEXPD). Some mathematical characteristics are studied, including hazard function, P(th) percentile, moment generating function and Shannon entropy. Simulation study is performed to examine the behaviour of parameter estimates. The proposed model is fitted on three real data sets to check its efficacy. Additionally, TTT (total time on test) plot is drawn to study the failure rate of the three data sets. The results verdict that HL-TEXPD can be efficiently utilized in the field of engineering and medical sciences based on the data sets under study contrary to the classical and baseline models. Public Library of Science 2023-11-14 /pmc/articles/PMC10645298/ /pubmed/37963157 http://dx.doi.org/10.1371/journal.pone.0285992 Text en © 2023 Gul et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gul, Ahtasham
Sandhu, Amjad Javaid
Farooq, Muhammad
Adil, Muhammad
Hassan, Yasir
Khan, Faridoon
Half logistic-truncated exponential distribution: Characteristics and applications
title Half logistic-truncated exponential distribution: Characteristics and applications
title_full Half logistic-truncated exponential distribution: Characteristics and applications
title_fullStr Half logistic-truncated exponential distribution: Characteristics and applications
title_full_unstemmed Half logistic-truncated exponential distribution: Characteristics and applications
title_short Half logistic-truncated exponential distribution: Characteristics and applications
title_sort half logistic-truncated exponential distribution: characteristics and applications
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645298/
https://www.ncbi.nlm.nih.gov/pubmed/37963157
http://dx.doi.org/10.1371/journal.pone.0285992
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