2014
DOI: 10.1016/j.cam.2014.04.020
|View full text |Cite
|
Sign up to set email alerts
|

A new family of Marshall–Olkin extended distributions

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 16 publications
(10 citation statements)
references
References 12 publications
0
6
0
Order By: Relevance
“…(2013), Cordeiro, G. M. and Lemonte, A. J. (2014), Alshangiti, A. M., et al (2014), Silva, A. O., et al (2014), Jafari, A. A., et al (2014) and De Andrade, et al (2015).…”
Section: Simulation Studymentioning
confidence: 99%
See 1 more Smart Citation
“…(2013), Cordeiro, G. M. and Lemonte, A. J. (2014), Alshangiti, A. M., et al (2014), Silva, A. O., et al (2014), Jafari, A. A., et al (2014) and De Andrade, et al (2015).…”
Section: Simulation Studymentioning
confidence: 99%
“…One of the most popular measures used to quantify the variability of X is the Rényi entropy. See, for example, Da Silva et al (2013) for the gamma extended Fréchet model (Alshangiti, 2014), for the Marshall-Olkin extended modified Weibull distribution and (Castellares, F. & Santos, M. A. C., 2015) for an extended logistic distribution.…”
Section: Rényi Entropymentioning
confidence: 99%
“…The techniques for modifying the classical distributions are usually referred to as generators in literature and are capable of improving the goodness-of-fit of the modified distributions. Some well-known generators are Marshal-Olkin generated family (MO-G) by Marshal and Olkin [1], the Beta-G by Eugene et al [2] and Jones [3], Generalized Beta-generated distributions by Alexander et al [4], Gamma-G (type 1) by Zografos and Balakrishanan [5], Gamma-G (type 2) by Ristic and Balakrishanan [6], Log-gamma-G by Amini et al [7], Exponentiated generalized-G by Cordeiro et al [8], Transformed-Transformer (T-X) by Alzaatreh et al [9], exponentiated (T-X) by Alzaghal et al [10], Weibull-G by Bourguignon et al [11], Exponentiated half logistic generated family by Cordeiro et al [12], Lomax-G by Cordeiro et al [13], Kumaraswamy Odd log-logistic-G by Alizadeh et al [14], Kumaraswamy Marshall-Olkin by Alizadeh et al [15], Beta Marshall-Olkin by Alizadeh et al [16], Kummer-beta generalized distributions by Pescimet al [17], A new family of Marshall-Olkin extended distributions by Alshangiti et al [18], A new family of distributions: Libby-Novick beta by Cordeiro et al [19], Type 1 Half-Logistic family of distributions by Cordeiro et al [20], The generalized transmuted-G family by Nofal et al [21], Generalized transmuted family by Alizadeh et al [22], Another generalized transmuted family by Merovci et al [23], Transmuted exponentiated generalized-G family by Yousof et al [24], Transmuted geometric G family by Afify et al [25], Beta transmuted-H family by Afify et al [26], Kumaraswamy transmuted-G family by Afify et al [27], Topp-Leone Family of Distributions by Al-Shomrani et al [28], The transmuted transmuted-G family by Mansour et al [29], The Exponentiated Kumaraswamy-G Class by Silva et al [30], The extended Weibull-G family of distributions by Korkmaz…”
Section: Introductionmentioning
confidence: 99%
“…Applications, properties and applications of M–O extended distributions can be found in Alshangiti et al. ( 2014 , 2016 ), Okasha and Kayid ( 2016 ), Ghitany et al. ( 2007 ), Ristic et al.…”
Section: Introductionmentioning
confidence: 99%