Transmuted Generalized Rayleigh Distribution
Journal of Statistics Applications & Probability, ISSN: 2090-8423, Vol: 3, Issue: 1, Page: 9-20
2014
- 3Citations
- 33Usage
- 14Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations3
- Citation Indexes3
- CrossRef3
- Usage33
- Downloads17
- Abstract Views16
- Captures14
- Readers14
- 14
Article Description
In this article, we generalize the generalized Rayleigh distribution using the quadratic rank transmutation map studied by Shaw et al. [9] to develop a transmuted generalized Rayleigh distribution. We provide a comprehensive description of the mathematical properties of the subject distribution along with its reliability behavior. The usefulness of the transmuted generalized Rayleigh distribution for modeling data is illustrated using real data.
Bibliographic Details
https://dc.naturalspublishing.com/jsap/vol3/iss1/2; https://digitalcommons.aaru.edu.jo/jsap/vol3/iss1/2
http://www.naturalspublishing.com/Article.asp?ArtcID=4417; http://dx.doi.org/10.18576/jsap/030102; http://dx.doi.org/10.12785/jsap/030102; https://dc.naturalspublishing.com/jsap/vol3/iss1/2; https://dc.naturalspublishing.com/cgi/viewcontent.cgi?article=1307&context=jsap; https://digitalcommons.aaru.edu.jo/jsap/vol3/iss1/2; https://digitalcommons.aaru.edu.jo/cgi/viewcontent.cgi?article=1025&context=jsap; https://dx.doi.org/10.18576/jsap/030102; https://www.naturalspublishing.com/Article.asp?ArtcID=4417
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