The Correlation between Variate-Values and Ranks in Samples from Complete Fourth Power Exponential Distribution
Maturi, T.A.; Elsayigh, A.
Dr Tahani Coolen-Maturi email@example.com
In this paper, we derive the correlation between variate-values and ranks in a sample from the Complete Fourth Power Exponential (CFPE) distribution. A sample from the CFPE distribution could be misclassified as if it is drawn from the normal distribution due to some similarities between the two distributions. In practice, ranks are used instead of real values (variate-values) when there is hardly any knowledge about the underlying distribution. This may lead to loss of some of the information contained in the actual values. In this paper we found that the amount of information loss, by using ranks instead of real data, is larger when the sample is from the CFPE distribution than if it is from the normal distribution. However, there is still a relatively high correlation between variate-values and the corresponding ranks. Comparisons between the correlation between variate-values and ranks for the CFPE distribution and some other distributions are provided.
Maturi, T., & Elsayigh, A. (2009). The Correlation between Variate-Values and Ranks in Samples from Complete Fourth Power Exponential Distribution. Journal of Mathematics Research, 1(1), 14-18. https://doi.org/10.5539/jmr.v1n1p14
|Journal Article Type||Article|
|Online Publication Date||Feb 20, 2009|
|Publication Date||Mar 1, 2009|
|Deposit Date||Jan 22, 2014|
|Publicly Available Date||Nov 7, 2016|
|Journal||Journal of Mathematics Research|
|Publisher||Canadian Center of Science and Education (CCSE)|
|Peer Reviewed||Peer Reviewed|
Published Journal Article
Publisher Licence URL
This work is licensed under a Creative Commons Attribution 4.0 International License.
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