Austrian Journal of Statistics | |
A Review of Goodness-of-Fit Tests for the Rayleigh Distribution | |
article | |
Shawn Liebenberg1  James Allison2  | |
[1] North-West University;Nort-West University | |
关键词: Rayleigh distribution; goodness-of-fit; Monte Carlo; | |
DOI : 10.17713/ajs.v52i1.1322 | |
学科分类:医学(综合) | |
来源: Austrian Statistical Society | |
【 摘 要 】
The Rayleigh distribution has recently become popular as a model for a range of phenomena. As a result, a number of goodness-of-fit tests have been developed for this distribution. In this paper, we provide the first overview of goodness-of-fit tests for the Rayleigh distribution and compare these tests in a Monte-Carlo study to identify the tests that provide the highest powers against a wide range of alternatives. Our findings suggest that two recently developed tests as well as a test based on the Laplace transform and a test based on the Hellinger distance are the better performing tests.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
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RO202307120004734ZK.pdf | 385KB | download |