On Using Conventional and TL moments for the Estimation of a Mixture of Exponential Distributions, A Theoretical Review
Habib Ahmed Elsayir1 Show affiliations
- Department of Mathematics, Al Qunfudha University College, Umm Al Qura University (K.S.A), P.O.Box 1109-21912, Saudi Arabia
American Journal of Applied Sciences, Volume 17, Issue 1, pp. 88–94 · doi.org/10.3844/ajassp.2020.88.94
Abstract
This paper focuses on derivation of a mixture of exponential distribution and Linear Moments (LM) and Trimmed Linear moments (TL) is derived for estimation of its parameters. A comparison was made between L-moments, TL-moments of two component mixture of exponential distributions and conventional moments. In intensive simulation study, empirical study results are in the favor of conventional moments, the reason is that the L and TL-moments provided sometimes nearly unbiased results; sometimes much biased. Due to this vast variation, admittedly this study is in the favor of the conventional moments even its results are not much accurate and efficient.
Licence and reuse
Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.
How to reuse this articleResponses (0)
About this article
Elsayir, H. A. (2020). On Using Conventional and TL moments for the Estimation of a Mixture of Exponential Distributions, A Theoretical Review. American Journal of Applied Sciences, 17(1), 88–94. https://doi.org/10.3844/ajassp.2020.88.94
- Licence
- CC BY 3.0
- Issue
- Volume 17, Issue 1
- Policies
- Editorial independenceUse of generative AIData availabilityAppeals and complaints
- Version
- Version of record
