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Bivariate Mixture of Inverse Weibull Distribution: Properties and Estimation
Joint Authors
Al-Moisheer, A. S.
Alotaibi, Refah Mohammed
Alomani, Ghadah A.
Rezk, H.
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-28
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In this study, we construct a mixture of bivariate inverse Weibull distribution.
We assumed that the parameters of two marginals have Bernoulli distributions.
Several properties of the proposed model are obtained, such as probability marginal density function, probability marginal cumulative function, the product moment, the moment of the two variables x and y, the joint moment-generating function, and the correlation between x and y.
The real dataset has been analyzed.
We observed that the mixture bivariate inverse Weibull distribution provides a better fit than the other model.
American Psychological Association (APA)
Al-Moisheer, A. S.& Alotaibi, Refah Mohammed& Alomani, Ghadah A.& Rezk, H.. 2020. Bivariate Mixture of Inverse Weibull Distribution: Properties and Estimation. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1195768
Modern Language Association (MLA)
Al-Moisheer, A. S.…[et al.]. Bivariate Mixture of Inverse Weibull Distribution: Properties and Estimation. Mathematical Problems in Engineering No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1195768
American Medical Association (AMA)
Al-Moisheer, A. S.& Alotaibi, Refah Mohammed& Alomani, Ghadah A.& Rezk, H.. Bivariate Mixture of Inverse Weibull Distribution: Properties and Estimation. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1195768
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195768