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Parameters estimation in a mixture of two modified Agarwal and Kalla's distributions
Author
Source
Issue
Vol. 48, Issue 1 (30 Jun. 2007), pp.200-204, 5 p.
Publisher
University of Baghdad College of Science
Publication Date
2007-06-30
Country of Publication
Iraq
No. of Pages
5
Main Subjects
Abstract AR
في هذا البحث تم تقديم أنموذج توزع جديد معرف من خليط توزعي اكروال و كالا المحور ذي الخمسة المعالم.
إن هذا الأنموذج ملائم لدراسة معولية نظام ينطوي على نوعين من الفشل إضافة إلى الإزاحة.
استخدم أسلوب العزوم و كذلك أسلوب الأرجحية العظمى لتخمين معالم هذا الأنموذج, و أن كل من النظام اللاخطي المنبثق عن هذين الأسلوبين قد تم دراسة حلهما عدديا باستخدام أسلوب نيوتن - رافسون التكراري.
Abstract EN
In this paper we introduced a new distribution model defined by a mixture of two modified Agarwal and Kalla generalized gamma distributions.
Its possible application in reliability is to study simultaneously both problems; the two types of failures and the displacement phenomenon.
Moment and maximum likelihood methods were used to estimate the parameters of this distribution model, the non-linear systems obtained by these two methods are solved numerically using Newton-Raphson iterative technique.
American Psychological Association (APA)
Husayn, Shawki Shakir. 2007. Parameters estimation in a mixture of two modified Agarwal and Kalla's distributions. Iraqi Journal of Science،Vol. 48, no. 1, pp.200-204.
https://search.emarefa.net/detail/BIM-340477
Modern Language Association (MLA)
Husayn, Shawki Shakir. Parameters estimation in a mixture of two modified Agarwal and Kalla's distributions. Iraqi Journal of Science Vol. 48, no. 1 (2007), pp.200-204.
https://search.emarefa.net/detail/BIM-340477
American Medical Association (AMA)
Husayn, Shawki Shakir. Parameters estimation in a mixture of two modified Agarwal and Kalla's distributions. Iraqi Journal of Science. 2007. Vol. 48, no. 1, pp.200-204.
https://search.emarefa.net/detail/BIM-340477
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 204
Record ID
BIM-340477