| Autor: |
Alzaatreh A; Department of Mathematics and Statistics, American University of Sharjah, Sharjah, United Arab Emirates. |
| Jazyk: |
angličtina |
| Zdroj: |
MethodsX [MethodsX] 2019 Mar 22; Vol. 6, pp. 938-952. Date of Electronic Publication: 2019 Mar 22 (Print Publication: 2019). |
| DOI: |
10.1016/j.mex.2019.02.025 |
| Abstrakt: |
A few generalizations of the Cauchy distribution appear in the literature. In this paper, a new generalization of the Cauchy distribution is proposed, namely, the exponentiated-exponential Cauchy distribution (EECD). Unlike the Cauchy distribution, EECD can have moments for some restricted parameters space. The distribution has wide range of skewness and kurtosis values and has a closed form cumulative distribution function. It can be left skewed, right skewed and symmetric. Two different estimation methods for the EECD parameters are studied. •A new generalization of the Cauchy distribution is proposed, namely, exponentiated-exponential Cauchy distribution (EECD).•EECD has flexible shape characteristics. Moreover, EECD moments are defined under some restrictions on the parameter space. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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