A comparison of some methods for estimating the Weibull distribution parameters
Article Sidebar
-
Weibull distribution , simulation , maximum likelihood , moments , Ordinary Least Squares.
Abstract
This study aims to compare the practical performance of three methods to estimate the parameters of Weibull distribution. These methods are: the method of maximum likelihood, the method of moments and the method of Ordinary least squares. Simulation experiments have been conducted for evaluation purposes under different real distribution parameters and different sample sizes.Results showed that the method of maximum likelihood seems to bemore appropriate to estimate the unknown parameters for large sample size whereas the method of moments and the method of Ordinary least squares can be used for small sample sizes.
Full text article
Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.
In a brief statement, the rights relate to the publication and distribution of research published in the journal of the University of Sebha where authors who have published their articles in the journal of the university of Sebha should how they can use or distribute their articles. They reserve all their rights to the published works, such as (but not limited to) the following rights:
- Copyright and other property rights related to the article, such as patent rights.
- Research published in the journal of the University of Sebha and used in its future works, including lectures and books, the right to reproduce articles for their own purposes, and the right to self-archive their articles.
- The right to enter a separate article, or for a non-exclusive distribution of their article with an acknowledgment of its initial publication in the journal of Sebha University.
Privacy Statement The names and e-mail addresses entered on the Sabha University Journal site will be used for the aforementioned purposes only and for which they were used.