| dc.creator | Olmos, Neveka M. | |
| dc.creator | Venegas, Osvaldo | |
| dc.creator | Gomez, Yolanda M. | |
| dc.creator | Iriarte, Yuri A. | |
| dc.date | 2019 | |
| dc.date | 2021-04-30T16:43:37Z | |
| dc.date | 2021-04-30T16:43:37Z | |
| dc.date.accessioned | 2021-06-14T22:06:54Z | |
| dc.date.available | 2021-06-14T22:06:54Z | |
| dc.identifier | SYMMETRY-BASEL,Vol.11,,2019 | |
| dc.identifier | http://repositoriodigital.uct.cl/handle/10925/3382 | |
| dc.identifier | 10.3390/sym11091150 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3300835 | |
| dc.description | In this paper we introduce a new distribution constructed on the basis of the quotient of two independent random variables whose distributions are the half-normal distribution and a power of the exponential distribution with parameter 2 respectively. The result is a distribution with greater kurtosis than the well known half-normal and slashed half-normal distributions. We studied the general density function of this distribution, with some of its properties, moments, and its coefficients of asymmetry and kurtosis. We developed the expectation-maximization algorithm and present a simulation study. We calculated the moment and maximum likelihood estimators and present three illustrations in real data sets to show the flexibility of the new model. | |
| dc.language | en | |
| dc.publisher | MDPI | |
| dc.source | SYMMETRY-BASEL | |
| dc.subject | slashed half-normal distribution | |
| dc.subject | kurtosis | |
| dc.subject | likelihood | |
| dc.subject | EM algorithm | |
| dc.title | An Asymmetric Distribution with Heavy Tails and Its Expectation-Maximization (EM) Algorithm Implementation | |
| dc.type | Article | |
