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The Extended Inverse Weibull Distribution: Properties and Applications
Joint Authors
Alkarni, Said
Afify, Ahmed Z.
Elbatal, I.
Elgarhy, M.
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-20
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper proposes the new three-parameter type I half-logistic inverse Weibull (TIHLIW) distribution which generalizes the inverse Weibull model.
The density function of the TIHLIW can be expressed as a linear combination of the inverse Weibull densities.
Some mathematical quantities of the proposed TIHLIW model are derived.
Four estimation methods, namely, the maximum likelihood, least squares, weighted least squares, and Cramér–von Mises methods, are utilized to estimate the TIHLIW parameters.
Simulation results are presented to assess the performance of the proposed estimation methods.
The importance of the TIHLIW model is studied via a real data application.
American Psychological Association (APA)
Alkarni, Said& Afify, Ahmed Z.& Elbatal, I.& Elgarhy, M.. 2020. The Extended Inverse Weibull Distribution: Properties and Applications. Complexity،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1141232
Modern Language Association (MLA)
Alkarni, Said…[et al.]. The Extended Inverse Weibull Distribution: Properties and Applications. Complexity No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1141232
American Medical Association (AMA)
Alkarni, Said& Afify, Ahmed Z.& Elbatal, I.& Elgarhy, M.. The Extended Inverse Weibull Distribution: Properties and Applications. Complexity. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1141232
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141232