Kumaraswamy-generalized distribution as a general class
Other Title(s)
توزيع كوماراسوامي المعمم
Author
al-Din Hijab, Tariq Muhammad Shams
Source
al-Azhar Scientific Journal of the Commercial Faculties
Issue
Vol. 2019, Issue 22 (30 Jun. 2019), pp.185-236, 52 p.
Publisher
al-Azhar University Faculty of Commerce-Boys
Publication Date
2019-06-30
Country of Publication
Egypt
No. of Pages
52
Main Subjects
Topics
Abstract EN
This article introduces the review of literature for Kumaraswamy-generalized distribution as a general class; we review the most fields which covered for Kumaraswamy-generalized distribution.
The new general class distribution can have a decreasing and upside-down bathtub failure rate function depending on the value of its parameters; it's including the Kumaraswamy-generalized Gamma distribution, some special sub-model depending on the original form.
The Kumaraswamy-generalized Pareto distribution.
On generalized order statistics from Kumaraswamy distribution.
Some structural properties of the proposed distribution are reviewed, including explicit expressions for the moments, order statistics and their moments.
The most methods of estimation are covered.
American Psychological Association (APA)
al-Din Hijab, Tariq Muhammad Shams. 2019. Kumaraswamy-generalized distribution as a general class. al-Azhar Scientific Journal of the Commercial Faculties،Vol. 2019, no. 22, pp.185-236.
https://search.emarefa.net/detail/BIM-1421185
Modern Language Association (MLA)
al-Din Hijab, Tariq Muhammad Shams. Kumaraswamy-generalized distribution as a general class. al-Azhar Scientific Journal of the Commercial Faculties No. 22 (Jun. 2019), pp.185-236.
https://search.emarefa.net/detail/BIM-1421185
American Medical Association (AMA)
al-Din Hijab, Tariq Muhammad Shams. Kumaraswamy-generalized distribution as a general class. al-Azhar Scientific Journal of the Commercial Faculties. 2019. Vol. 2019, no. 22, pp.185-236.
https://search.emarefa.net/detail/BIM-1421185
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1421185