Odd-Burr generalized family of distributions with some applications
By Morad Alizadeh, Gauss Moutinho Cordeiro, Abraão David Costa do Nascimento, M. C. Lima, Edwin M. M. Ortega. 2017
79 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/09f2e0681c1693075441b1e16be1210b72c77c43
How researchers see this paper
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In Statistics and Probability
- Haitham M. Yousof
- G. Hamedani
- Morad Alizadeh
- Nadeem Shafique Butt
- Mustafa Ç. Korkmaz
- Mohammed Elgarhy
- R. Gokarna
- M. Haitham
Citations in the corpus
- Expanded Fréchet Model: Mathematical Properties, Copula, Different Estimation Methods, Applications and Validation Testing (2020, methodology): “The new model is derived based on compiling the standard F model with the odd-Burr generalized (OB-G) family (see [17]).”
- The Odd Power Lindley Generator of Probability Distributions: Properties, Characterizations and Regression Modeling (2019, methodology): “We compare these distribution model with the odd Burr normal (OBN) (Alizadeh et al., 2017), power normal (PN) (Gupta and Gupta, 2008), OLN, normal (N), Lomax-Weibull (LxW) (Cordeiro et al.”
- Odd Generalized N-H Generated Family of Distributions with Application to Exponential Model (2020, methodology): “The associated probability density function (pdf ) corresponding to (1) is as follows g(t) = αλC(1 + λt)α−1e−1+λt α , (2) where λ is the scale parameter and α is the shape parameter.”
- The transmuted Weibull-G family of distributions (2017, background): “The rth incomplete moment, say φr (t), of X can be expressed from (10) as”
- The Exponentiated Generalized-G Poisson Family of Distributions (2017, methodology): “Substituting (4) and (5) in equation (10), we get”