Comparison of the suggested loss function with generalized loss function for one parameter inverse Rayleigh distribution
Author
Source
Ibn al-Haitham Journal for Pure and Applied Science
Issue
Vol. 30, Issue 2 (31 Aug. 2017), pp.224-232, 9 p.
Publisher
University of Baghdad College of Education for Pure Science / Ibn al-Haitham
Publication Date
2017-08-31
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Topics
Abstract EN
The experiences in the life are considered important for many fields, such as industry, medical and others.
In literature, researchers are focused on flexible lifetime distribution.
In this paper, some Bayesian estimators for the unknown scale parameter of Inverse Rayleigh Distribution have been obtained, of different two loss functions, represented by Suggested and Generalized loss function based on Non-Informative prior using Jeffery's and informative prior represented by Exponential distribution.
The performance of estimators is compared empirically with Maximum Likelihood estimator, Using Monte Carlo Simulation depending on the Mean Square Error (MSE).
Generally, the preference of Bayesian method of Suggested loss function with Exponential informative prior are the best estimator compared to others.
American Psychological Association (APA)
al-Shurayfi, Imad Farhud. 2017. Comparison of the suggested loss function with generalized loss function for one parameter inverse Rayleigh distribution. Ibn al-Haitham Journal for Pure and Applied Science،Vol. 30, no. 2, pp.224-232.
https://search.emarefa.net/detail/BIM-768345
Modern Language Association (MLA)
al-Shurayfi, Imad Farhud. Comparison of the suggested loss function with generalized loss function for one parameter inverse Rayleigh distribution. Ibn al-Haitham Journal for Pure and Applied Science Vol. 30, no. 2 (2017), pp.224-232.
https://search.emarefa.net/detail/BIM-768345
American Medical Association (AMA)
al-Shurayfi, Imad Farhud. Comparison of the suggested loss function with generalized loss function for one parameter inverse Rayleigh distribution. Ibn al-Haitham Journal for Pure and Applied Science. 2017. Vol. 30, no. 2, pp.224-232.
https://search.emarefa.net/detail/BIM-768345
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 231-232
Record ID
BIM-768345