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

Ahmad, Maani
Husayn, Ali Nasir

Source

Economic Siences

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

Mathematics

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