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The generalized Cauchy family of distributions with applications

Ayman Alzaatreh (), Carl Lee, Felix Famoye and Indranil Ghosh
Additional contact information
Ayman Alzaatreh: Nazarbayev University
Carl Lee: Central Michigan University
Felix Famoye: Central Michigan University
Indranil Ghosh: University of North Carolina Wilmington

Journal of Statistical Distributions and Applications, 2016, vol. 3, issue 1, 1-16

Abstract: Abstract A family of generalized Cauchy distributions, T-Cauchy{Y} family, is proposed using the T-R{Y} framework. The family of distributions is generated using the quantile functions of uniform, exponential, log-logistic, logistic, extreme value, and Fréchet distributions. Several general properties of the T-Cauchy{Y} family are studied in detail including moments, mean deviations and Shannon’s entropy. Some members of the T-Cauchy{Y} family are developed and one member, gamma-Cauchy{exponential} distribution, is studied in detail. The distributions in the T-Cauchy{Y} family are very flexible due to their various shapes. The distributions can be symmetric, skewed to the right or skewed to the left.

Keywords: T-R{Y} framework; Quantile function; Moments; Shannon’s entropy (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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DOI: 10.1186/s40488-016-0050-3

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