A Heavy-Tailed Distribution Based on the Lomax-Rayleigh Distribution with Applications to Medical Data
Keywords: kurtosis, slash distribution, Lomax-Rayleigh distribution
Abstract
In this paper, we extend the LomaxâRayleigh distribution to increase its kurtosis. The construction of this distribution is based on the idea of the Slash distribution, that is, its representation is based on the quotient of two independent random variables, one being a random variable with a LomaxâRayleigh distribution and the other a beta (Formula presented.). Based on the representation of this family, we study its basic properties, such as moments, coefficients of skewness, and kurtosis. We perform statistical inference using the methods of moments and maximum likelihood. To illustrate this methodology, we apply it to two real data sets.
Más información
| Título según WOS: | A Heavy-Tailed Distribution Based on the Lomax-Rayleigh Distribution with Applications to Medical Data |
| Título según SCOPUS: | A Heavy-Tailed Distribution Based on the LomaxâRayleigh Distribution with Applications to Medical Data |
| Título de la Revista: | Mathematics |
| Volumen: | 11 |
| Número: | 22 |
| Editorial: | Multidisciplinary Digital Publishing Institute (MDPI) |
| Fecha de publicación: | 2023 |
| Idioma: | English |
| DOI: |
10.3390/math11224626 |
| Notas: | ISI, SCOPUS |