A Heavy-Tailed Distribution Based on the Lomax-Rayleigh Distribution with Applications to Medical Data

Santoro K.I.; Gallardo D.I.; Venegas O.; Cortés, IE; Gomez H.W.

Keywords: kurtosis, slash distribution, Lomax-Rayleigh distribution

Abstract

In this paper, we extend the Lomax–Rayleigh 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 Lomax–Rayleigh 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 Lomax–Rayleigh 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