Transmuted Log-Logistic Distribution
By Gokarna R. Aryal. 2013
114 citations recorded by the source corpus.
Subfields: Computational Mechanics, Discrete Mathematics and Combinatorics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/501b706fd2f6399cc7ebcb3d640a5b8b9f50bd1b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Mavila Manoharan
- Ahmed A. Fattah
- G. Hamedani
- P. Kavya
- Morad Alizadeh
- Faton Merovci
- Muhammad Ahsan ul Haq
- Haitham M. Yousof
In Discrete Mathematics and Combinatorics
- Mavila Manoharan
- Ahmed A. Fattah
- G. Hamedani
- P. Kavya
- Morad Alizadeh
- Faton Merovci
- Muhammad Ahsan ul Haq
- Haitham M. Yousof
In Statistics and Probability
- Haitham M. Yousof
- G. Hamedani
- Ahmed Z. Afify
- Morad Alizadeh
- Nadeem Shafique Butt
- Indranil K. Ghosh
- Gauss Moutinho Cordeiro
- Faton Merovci
Citations in the corpus
- Transmuted Kumaraswamy Distribution (2016, background): “Ashour et al. (2013), Elbatal et al. (2013) and Aryal (2013) studied the transmuted Lomax distribution, the transmuted quasi Lindley distribution and the transmuted loglogistic distribution with a discussion on some properties of this family.”
- General Results for the Transmuted Family of Distributions and New Models (2016, background): “Aryal and Tsokos [2] defined the transmuted generalized extreme value distribution and studied some basic mathematical characteristics of the transmuted Gumbel distribution and its applications to climate data.”
- Transmuted Lomax Distribution (2013, background): “Aryal [3] studied the transmuted log- logistic distribution and discussed some properties of this family.”
- The Transmuted Generalized Inverse Weibull Distribution (2013, background): “Aryal and Tsokos (2009) defined the transmuted generalized extreme value distribution and they studied some basic mathematical characteristics of the transmuted Gumbel probability distribution and it has been observed that the transmuted Gumbel can be used to model climate data. Also Aryal and Tsoko”
- TRANSMUTED POWER FUNCTION DISTRIBUTION (2016, methodology): “The Transmuted Log-Loistic (T-LL) distribution introduced by Aryal [25].”
- Some parsimonious models for lifetimes and applications (2021, background): “Some of such generalized distributions are, transmuted extreme value distribution proposed byAryal andTsokos [9], transmuted log-logistic distribution given by Aryal [10], and transmuted inverse Weibull distribution introduced by Khan et al. [11].”
- Generalized Transmuted Family of Distributions: Properties and Applications (2017, background): “α λ G(x) Reduced distribution 1 - G(x) Transmuted G family of distributions [42] - 0 G(x) Proportioanl reversed hazard rate family [25] 1 0 G(x) G(x) 1 - exponential Transmuted exponential distribution [42] 1 - pareto Transmuted pareto distribution [41] 1 - Gumbel Transmuted Gumbel distribution [10]”
- The Transmuted Exponentiated Generalized-G Family of Distributions (2015, background): “From (10) and (9), the pdf of and the cdf of can be, respectively, expressed by”
- The exponentiated transmuted-G family of distributions: Theory and applications (2017, background): “Some well-known generators are Marshal– Olkin generated family (MO-G) (Marshall and Olkin, 1997), the beta-G by Eugene et al. (2002) and Jones (2004), Kumaraswamy-G (Kw-G for short) by Cordeiro and de Castro (2011), McDonald-G (Mc-G) by Alexander et al.”