An Asymmetric Distribution with Heavy Tails and Its Expectation-Maximization (EM) Algorithm Implementation
Abstract
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.
Más información
| Título según WOS: | An Asymmetric Distribution with Heavy Tails and Its Expectation-Maximization (EM) Algorithm Implementation |
| Título según SCOPUS: | An asymmetric distribution with heavy tails and its expectation-maximization (EM) algorithm implementation |
| Título de la Revista: | SYMMETRY-BASEL |
| Volumen: | 11 |
| Número: | 9 |
| Editorial: | MDPI |
| Fecha de publicación: | 2019 |
| Idioma: | English |
| DOI: |
10.3390/sym11091150 |
| Notas: | ISI, SCOPUS |