Bimodal Class based on the Inverted Symmetrized Gamma Distribution with Applications
Journal of Statistics Applications & Probability, ISSN: 2090-8423, Vol: 3, Issue: 1, Page: 1-7
2014
- 1Citations
- 26Usage
- 4Captures
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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.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations1
- Citation Indexes1
- CrossRef1
- Usage26
- Downloads21
- Abstract Views5
- Captures4
- Readers4
Article Description
In this work, a new class of asymmetric probability densities, the Epsilon Skew Inverted Gamma (ESIG ) distribution, which was first introduced by Abdulah [2], is applied to analyzing skewed and bimodality data. Basic properties of this distribution, such as the pdf, cdf, and moments are presented. In addition, computational forms of parameters estimation of MLE and MME are used. Finally, we illustrate the theory of ESIG distribution by modeling some real data.
Bibliographic Details
https://digitalcommons.aaru.edu.jo/jsap/vol3/iss1/1; https://dc.naturalspublishing.com/jsap/vol3/iss1/1
http://www.naturalspublishing.com/Article.asp?ArtcID=3916; http://dx.doi.org/10.12785/jsap/030101; http://dx.doi.org/10.18576/jsap/030101; https://digitalcommons.aaru.edu.jo/jsap/vol3/iss1/1; https://digitalcommons.aaru.edu.jo/cgi/viewcontent.cgi?article=1023&context=jsap; https://dc.naturalspublishing.com/jsap/vol3/iss1/1; https://dc.naturalspublishing.com/cgi/viewcontent.cgi?article=1306&context=jsap; https://dx.doi.org/10.18576/jsap/030101; https://www.naturalspublishing.com/Article.asp?ArtcID=3916
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