A comparison between the Maximum Likelihood Method (MLM)‎ and Least Square Method (LSM)‎ to estimate parameters of Weibull-Gumbel distribution by using simulation

المؤلفون المشاركون

Ahmad, Maani
Husayn, Ali Nasir

المصدر

Economic Siences

العدد

المجلد 14، العدد 54 (30 سبتمبر/أيلول 2019)، ص ص. 125-135، 11ص.

الناشر

جامعة البصرة كلية الإدارة و الاقتصاد

تاريخ النشر

2019-09-30

دولة النشر

العراق

عدد الصفحات

11

التخصصات الرئيسية

الرياضيات

الموضوعات

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes appendices : p. 133-135

رقم السجل

BIM-939957