Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Cited by Google
- Similars in SciELO
- Similars in Google
Share
Revista Colombiana de Estadística
Print version ISSN 0120-1751
Abstract
DOMMA, Filippo et al. The Odd Log-Logistic Dagum Distribution: Properties and Applications. Rev.Colomb.Estad. [online]. 2018, vol.41, n.1, pp.109-135. ISSN 0120-1751. https://doi.org/10.15446/rce.v41n1.66542.
This paper introduces a new four-parameter lifetime model called the odd log-logistic Dagum distribution. The new model has the advantage of being capable of modeling various shapes of aging and failure criteria. We derive some structural properties of the model odd log-logistic Dagum such as order statistics and incomplete moments. The maximum likelihood method is used to estimate the model parameters. Simulation results to assess the performance of the maximum likelihood estimation are discussed. We prove empirically the importance and flexibility of the new model in modeling real data.
Keywords : Dagum Distribution; Maximum Likelihood; Odd Log-Logistic Family; Order Statistics.