Comparing different algorithms for estimating parameters and reliability function of weibull distribution

Author

Abd al-Husayn, Rim Razzaq

Source

The Iraqi Magazinje for Managerial Sciences

Issue

Vol. 12, Issue 47 (31 Mar. 2016), pp.350-363, 14 p.

Publisher

University of Karbala College of Management and Economics

Publication Date

2016-03-31

Country of Publication

Iraq

No. of Pages

14

Main Subjects

Mathematics

Topics

Abstract EN

Today computational techniques play an important role in various fields.

In this research was to use the language of Matlab programming to simulate and compare three different algorithms are used to estimate the parameter (α,β) and reliability function of two parameters weibulldistribution.the estimation algorithms are moment estimators , maximumlikeihoodestimatorsand L_moment estimators algorithms which implemented on different sample n.and each algorithms is repeated (R=1000),and the results of estimation for parameters and reliability function are compared using statistical measure mean square error and all result are explained in tables.

American Psychological Association (APA)

Abd al-Husayn, Rim Razzaq. 2016. Comparing different algorithms for estimating parameters and reliability function of weibull distribution. The Iraqi Magazinje for Managerial Sciences،Vol. 12, no. 47, pp.350-363.
https://search.emarefa.net/detail/BIM-797848

Modern Language Association (MLA)

Abd al-Husayn, Rim Razzaq. Comparing different algorithms for estimating parameters and reliability function of weibull distribution. The Iraqi Magazinje for Managerial Sciences Vol. 12, no. 47 (2016), pp.350-363.
https://search.emarefa.net/detail/BIM-797848

American Medical Association (AMA)

Abd al-Husayn, Rim Razzaq. Comparing different algorithms for estimating parameters and reliability function of weibull distribution. The Iraqi Magazinje for Managerial Sciences. 2016. Vol. 12, no. 47, pp.350-363.
https://search.emarefa.net/detail/BIM-797848

Data Type

Journal Articles

Language

English

Record ID

BIM-797848