Cai, Y. and Hames, D. (2011) Minimum sample size determination for generalized extreme value distribution. Communications in Statistics - Simulation and Computation, 40 (1).
Full text not available from this repository.Abstract
Sample size determination is an important issue in statistical analysis. Obviously, the larger the sample size is, the better the statistical results we have. However, in many areas such as coastal engineering and environmental sciences, it can be very expensive or even impossible to collect large samples. In this article, we propose a general method for determining the minimum sample size required by estimating the return levels from a generalized extreme value distribution. Both simulation studies and the applications to real data sets show that the method is easy to implement and the results obtained are very good.
| Item Type: | Article |
|---|---|
| Subjects: | Maritime > General Floods > General Energy > General Water > General Coasts > General |
| Divisions: | Coastal |
| Depositing User: | Unnamed user with email i.services@hrwallingford.com |
| Date Deposited: | 02 Apr 2020 09:49 |
| Last Modified: | 02 Apr 2020 09:49 |
| URI: | http://eprints.hrwallingford.com/id/eprint/802 |
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