Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
415422 | Computational Statistics & Data Analysis | 2008 | 11 Pages |
Abstract
In this paper we propose an extension of the three-parameter Burr III distribution with the consideration of both theoretical and practical reasons. The research is motivated by low-flow frequency analysis in water resources research. Three commonly used parameter estimation methods were evaluated, including the method of moments, probability-weighted moments (or L-moments) and maximum likelihood method. The computing issues in the parameter estimation are also discussed. The performance of the proposed distribution is examined using a simulation study and real data from large number of catchments from Australia.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Quanxi Shao, Yongqin D. Chen, Lu Zhang,