A comparison between the Maximum Likelihood Method (MLM) and Least Square Method (LSM) to estimate parameters of Weibull-Gumbel distribution by using simulation
Joint Authors
Source
Issue
Vol. 14, Issue 54 (30 Sep. 2019), pp.125-135, 11 p.
Publisher
University of Basrah College of Economic and Administration
Publication Date
2019-09-30
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Topics
Abstract EN
The Weibull-Gumbel distribution, which is resulting of the integration of two parameters Weibull Distribution, and Gumbel Distribution which where proposed distributions to expand the distribution of Weibull distribution by adding new parameters.
In this research, a compares has been achieved between two methods of estimation to estimate the parameters of the proposed distribution by using simulation as a sampling technique for data from Weibull – Gumbel distribution with different samples sizes and parameters.
The total standard deviations were used to compare accuracy of both estimation methods.
American Psychological Association (APA)
Ahmad, Maani& Husayn, Ali Nasir. 2019. A comparison between the Maximum Likelihood Method (MLM) and Least Square Method (LSM) to estimate parameters of Weibull-Gumbel distribution by using simulation. Economic Siences،Vol. 14, no. 54, pp.125-135.
https://search.emarefa.net/detail/BIM-939957
Modern Language Association (MLA)
Ahmad, Maani& Husayn, Ali Nasir. A comparison between the Maximum Likelihood Method (MLM) and Least Square Method (LSM) to estimate parameters of Weibull-Gumbel distribution by using simulation. Economic Siences Vol. 14, no. 54 (Sep. 2019), pp.125-135.
https://search.emarefa.net/detail/BIM-939957
American Medical Association (AMA)
Ahmad, Maani& Husayn, Ali Nasir. A comparison between the Maximum Likelihood Method (MLM) and Least Square Method (LSM) to estimate parameters of Weibull-Gumbel distribution by using simulation. Economic Siences. 2019. Vol. 14, no. 54, pp.125-135.
https://search.emarefa.net/detail/BIM-939957
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 133-135
Record ID
BIM-939957