Estimating parameters for extension of burr type X distribution by using conjugate gradient in unconstrained optimization
Other Title(s)
تقدير المعالم لتوزيع بور العاشر الموسع (Burr Type X) باستخدام التدرج المترافق في الامثلية اللامقيدة
Parallel Title
تقدير المعالم لتوزيع بور العاشر الموسع (Burr Type X) باستخدام التدرج المترافق في الامثلية اللامقيدة
Joint Authors
Oguntunde, Pelumi E.
Abd Allah, Ziyad Muhammad
Abd al-Hamid, Mazhar Khalid
Khalil, Mundhir Abd Allah
Source
Kirkuk University Journal-Scientific Studies
Issue
Vol. 14, Issue 3 (30 Sep. 2019), pp.33-49, 17 p.
Publisher
Kirkuk University College of Science
Publication Date
2019-09-30
Country of Publication
Iraq
No. of Pages
17
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
The Conjugate gradient method used to estimate the parameter of Marshall-Olkin Exponentiated Burr Type X distribution (MOEBX).
The proposed distribution MOEBX based on the work by (Marshall–Olkin 1997).
Several properties of the MOEBX distribution were investigated and studied such as quantile function, moments, moment generation function and order statistics.
The estimation process by maximum likelihood estimation maybe an obstacle for statisticians, so used Conjugate Gradient method in unconstrained optimization to estimate parameters.
It was employed for estimating the three parameters of the new distribution.
The flexibility of the MOEBX was illustrated by using two real data sets.
We compared with nested and no nested distributions and encouraging results were obtained using a real data set.
American Psychological Association (APA)
Abd Allah, Ziyad Muhammad& Khalil, Mundhir Abd Allah& Abd al-Hamid, Mazhar Khalid& Oguntunde, Pelumi E.. 2019. Estimating parameters for extension of burr type X distribution by using conjugate gradient in unconstrained optimization. Kirkuk University Journal-Scientific Studies،Vol. 14, no. 3, pp.33-49.
https://search.emarefa.net/detail/BIM-1037436
Modern Language Association (MLA)
Abd al-Hamid, Mazhar Khalid…[et al.]. Estimating parameters for extension of burr type X distribution by using conjugate gradient in unconstrained optimization. Kirkuk University Journal-Scientific Studies Vol. 14, no. 3 (Sep. 2019), pp.33-49.
https://search.emarefa.net/detail/BIM-1037436
American Medical Association (AMA)
Abd Allah, Ziyad Muhammad& Khalil, Mundhir Abd Allah& Abd al-Hamid, Mazhar Khalid& Oguntunde, Pelumi E.. Estimating parameters for extension of burr type X distribution by using conjugate gradient in unconstrained optimization. Kirkuk University Journal-Scientific Studies. 2019. Vol. 14, no. 3, pp.33-49.
https://search.emarefa.net/detail/BIM-1037436
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1037436
