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Abstract
In this paper, different goodness of fit tests for the Rayleigh distribution are considered based on simple random sampling (SRS) and ranked set sampling (RSS) techniques. The performance of the suggested estimators is evaluated in terms of the power of the tests by using Monte Carlo simulation. It is found that the suggested RSS tests perform better than their counterparts in SRS.
Keywords
Goodness of fit tests
simple random sampling
ranked set sampling
Kullback-Leibler information
Critical values
Rayleigh distribution
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Copyright © 2016 Pakistan Journal of Statistics and Operation Research
Creative Commons Attribution 4.0 International (CC BY 4.0)
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How to Cite
Al-Omari, A., & Zamanzade, E. (2016). Different goodness of fit tests for Rayleigh distribution in ranked set sampling. Pakistan Journal of Statistics and Operation Research, 12(1), 25-39. https://doi.org/10.18187/pjsor.v12i1.1072