A bounded distribution derived from the shifted Gompertz law
Resumen: A two-parameter probability distribution with bounded support is derived from the shifted Gompertz distribution. It is shown that this model corresponds to the distribution of the minimum of a random number with shifted Poisson distribution of independent random variables having a common power function distribution. Some statistical properties are written in closed form, such as the moments and the quantile function. To this end, the incomplete gamma function and the Lambert W function play a central role. The shape of the failure rate function and the mean residual life are studied. Analytical expressions are also provided for the moments of the order statistics and the limit behavior of the extreme order statistics is established. Moreover, the members of the new family of distributions can be ordered in terms of the hazard rate order. The parameter estimation is carried out by the methods of maximum likelihood, least squares, weighted least squares and quantile least squares. The performance of these methods is assessed by means of a Monte Carlo simulation study. Two real data sets are used to illustrate the usefulness of the proposed distribution.
Idioma: Inglés
DOI: 10.1016/j.jksus.2018.08.001
Año: 2018
Publicado en: Journal of King Saud University - Science 32, 13 (2018), 523 - 536
ISSN: 1018-3647

Factor impacto JCR: 2.835 (2018)
Categ. JCR: MULTIDISCIPLINARY SCIENCES rank: 21 / 69 = 0.304 (2018) - Q2 - T1
Factor impacto SCIMAGO: 0.434 - Multidisciplinary (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/E24-17R
Tipo y forma: Article (Published version)
Área (Departamento): Área Estadís. Investig. Opera. (Dpto. Métodos Estadísticos)

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Articles > Artículos por área > Estadística e Investigación Operativa



 Record created 2018-09-26, last modified 2020-06-16


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