Abstract
In this article, we generalize the Rayleigh distribution using the quadratic rank transmutation map studied by Shaw et al. (2009) to develop a transmuted Rayleigh distribution. We provide a comprehensive description of the mathematical properties of the subject distribution along with its reliabilitybehavior. The usefulness of the transmuted Rayleigh distribution for modeling data is illustrated using real data.
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CITATION STYLE
APA
Merovci, F. (2016). Transmuted Rayleigh Distribution. Austrian Journal of Statistics, 42(1), 21–31. https://doi.org/10.17713/ajs.v42i1.163
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