An extended Lomax distribution
By Artur J. Lemonte, Gauss Moutinho Cordeiro. 2013
211 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/9e13c70085b6d5b9aa148b6c27504db706f55f1f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
- Haitham M. Yousof
- G. Hamedani
- Gauss Moutinho Cordeiro
- Ahmed Z. Afify
- Edwin M. M. Ortega
- Indranil K. Ghosh
- Saralees Nadarajah
- Mohamed E. Mead
In Statistics and Probability
- Haitham M. Yousof
- G. Hamedani
- Gauss Moutinho Cordeiro
- Ahmed Z. Afify
- Edwin M. M. Ortega
- Morad Alizadeh
- Indranil K. Ghosh
- Saralees Nadarajah
Citations in the corpus
- A New Generalization of the Lomax Distribution with Increasing, Decreasing, and Constant Failure Rate (2017, methodology): “Modified and extended versions of the Lomax distribution have been studied; examples include theweighted Lomax distribution [4], exponential Lomax distribution [5], exponentiated Lomaxdistribution [6], gammaLomaxdistribution [7], transmuted Lomax distribution [8], Poisson Lomax distribution [9], McD”
- The Transmuted Weibull Lomax Distribution: Properties and Application (2015, unknown): “• The McDonald-Lomax (McL) distribution introduced by Lemonte and Cordeiro (2013).”
- The gamma-Lomax distribution (2015, methodology): “In Table 3, we provide some results reported in Lemonte and Cordeiro.[14] By comparing the figures in Tables 2 and 3, we verify that the GL model is a very competitive distribution to model lifetime data.”
- The Beta Exponential Fréchet Distribution with Applications (2017, methodology): “…BFr, EFr and Fr distributions) with several other competitive models namely: the generalized inverse gamma (Mead, 2015), McDonald Lomax (McL) (Lemonte and Cordeiro, 2013), gamma Lomax (GL) ( Cordeiro et al., 2015) and Zografos-Balakrishnan log-logistic (ZBLL) (Zografos and Balakrishnan, 2009…”
- The Marshall-Olkin Generalized-G Family of Distributions with Applications (2018, methodology): “For these data, we compare the fit of the MOG-LL and MOG-Lo distributions with the following distributions: Kumaraswamy Lomax (KwLo) of Lemonte and Cordeiro (2013), generalized transmuted log-logistic (GT-LL) of Nofal et al. (2017), Kumaraswamy-log-logistic (KwLL)of Flor de Santana et al. (2012),…”