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Performance Evaluation for Maximum Likelihood and Moment Parameter Estimation Methods on Classical Two Weibull Distribution
Tromsø University.
Tromsø University.
Department of Engineering and Safety, UiT The Arctic University of Norway, Tromsø.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. Islamic Azad University.ORCID iD: 0000-0003-2976-5229
2015 (English)In: 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM): Singapore, 6-9 Dec. 2015, Piscataway, NJ: IEEE Communications Society, 2015, p. 802-806, article id 7385758Conference paper, Published paper (Refereed)
Abstract [en]

The two-parameter Weibull distribution is the most widely used distribution in reliability engineering. Parameter estimation is a key issue to apply the Weibull to practical engineering. This paper aims to compare the performance of the maximum parameter estimation method (MLE) and the moment parameter method. It firstly investigates some mathematical properties such as solution uniqueness, estimator's equivariance and the confidence interval, that are important to practice. Later on their performances have been evaluated by using simulation. In the simulation, data sets ranged from extreme small to large have been considered. Weibull distribution with increasing, constant and deceasing failure rate have been chosen in the simulation to ensure the simulation's results concrete.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2015. p. 802-806, article id 7385758
Series
IEEE International Conference on Industrial Engineering and Engineering Management, ISSN 2157-3611
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-32263DOI: 10.1109/IEEM.2015.7385758Scopus ID: 2-s2.0-84962028818Local ID: 6b231e41-8bee-4fb5-b6c3-e9d5493c5fa7ISBN: 9781467380669 (print)OAI: oai:DiVA.org:ltu-32263DiVA, id: diva2:1005497
Conference
IEEE International Conference on Industrial Engineering and Engineering Management : 06/12/2015 - 09/12/2015
Note

Validerad; 2016; Nivå 1; 20151130 (amigar)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved

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Fuqing, YuanGarmabaki, Amir

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CiteExportLink to record
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  • apa
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