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dc.contributor.authorMuhammad, M.en
dc.contributor.authorMuhammad, I.en
dc.contributor.authorBouchane, M.en
dc.contributor.authorAslam, M.en
dc.contributor.authorMusa, S.en
dc.contributor.authorRano, S. A.en
dc.date.accessioned2025-02-25T10:46:51Z-
dc.date.available2025-02-25T10:46:51Z-
dc.date.issued2024-
dc.identifier.citationMuhammad, M., Muhammad, I., Bouchane, M., Aslam, M., Musa, S., & Ali rano, S. (2024). A new bathtub and increasing failure rate model: An extension of the Mustapha type II distribution. Pakistan Journal of Statistics and Operation Research, 49-67. https://doi.org/10.18187/pjsor.v20i1.3614, https://doi.org/10.18187/pjsor.v20i1apa_pure
dc.identifier.issn2220-5810-
dc.identifier.issn1816-2711-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access; Gold Open Access3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85189475000&doi=10.18187%2fpjsor.v20i1.3614&partnerID=40&md5=2d67ea7a02bd0262c818b0ceea63cd901
dc.identifier.otherhttps://pjsor.com/pjsor/article/download/3614/1293pdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/141460-
dc.description.abstractThis article introduces a new three-parameter model with an increasing and bathtub failure rate functions as an extension of the Mustapha type-II distribution (Mu-II). The model can be very useful in statistical studies, reliability, computer sciences and engineering. Various mathematical and statistical properties of the distribution are discussed, such as moments, mean deviations, Bonferroni and Lorenz curves, entropy, order statistic, and extreme value distributions. Moreover, we consider the bivariate extension of the new model. Statistical inferences by the maximum likelihood method are discussed and assess by simulation studies. Applications of the proposed model to two rightskewed data are presented for illustration. The new model provides a better fit than some other existing distribution as measured by some model selection criteria and goodness of fits statistics. © (2024), (University of Punjab (new Campus)). All Rights Reserved.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherUniversity of Punjab (new Campus)en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightscc-byother
dc.sourcePakistan Journal of Statistics and Operation Research2
dc.sourcePakistan Journal of Statistics and Operation Researchen
dc.subjectENTROPYen
dc.subjectMAXIMUM LIKELIHOOD ESTIMATIONen
dc.subjectMOMENTSen
dc.subjectMUSTAPHA TYPE II DISTRIBUTIONen
dc.titleA new three parameter bathtub and increasing failure rate model with applications to real dataen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.18187/pjsor.v20i1.3614-
dc.identifier.scopus85189475000-
local.contributor.employeeMuhammad M., Department of Mathematics, Guangdong University of Petrochemical Technology, Maoming, China, Department of Mathematical Sciences, Bayero University Kano (BUK), Nigeriaen
local.contributor.employeeMuhammad I., Department of Mechanical Engineering, School of Technology, Kano State Polytechnic, Nigeriaen
local.contributor.employeeBouchane M., Key Laboratory of Augmented Reality, College of Mathematics and Information Science, Hebei Normal University, Shijiazhuang, Chinaen
local.contributor.employeeAslam M., Institute of Physics and Technology, Ural Fedral University, Mira Str. 19, Yekaterinburg, 620002, Russian Federationen
local.contributor.employeeMusa S., Department of Mathematics and Computer Science, Sule Lamido University, Kafin-Hausa, Nigeriaen
local.contributor.employeeRano S.A., Department of Mathematical Sciences, Bayero University Kano (BUK), Nigeriaen
local.description.firstpage49
local.description.lastpage67
local.issue1-
local.volume20-
dc.identifier.wos001188170600004-
local.contributor.departmentDepartment of Mathematics, Guangdong University of Petrochemical Technology, Maoming, Chinaen
local.contributor.departmentDepartment of Mathematical Sciences, Bayero University Kano (BUK), Nigeriaen
local.contributor.departmentDepartment of Mechanical Engineering, School of Technology, Kano State Polytechnic, Nigeriaen
local.contributor.departmentKey Laboratory of Augmented Reality, College of Mathematics and Information Science, Hebei Normal University, Shijiazhuang, Chinaen
local.contributor.departmentInstitute of Physics and Technology, Ural Fedral University, Mira Str. 19, Yekaterinburg, 620002, Russian Federationen
local.contributor.departmentDepartment of Mathematics and Computer Science, Sule Lamido University, Kafin-Hausa, Nigeriaen
local.identifier.pure55345879-
local.identifier.eid2-s2.0-85189475000-
local.identifier.wosWOS:001188170600004-
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