Marshall-Olkin Extended Burr Type XII Distribution
By Arwa Y. Al-Saiari, Lamya A. Baharith, Salwa A. Mousa. 2014
66 citations recorded by the source corpus.
Marshall and Olkin (1997) proposed a new method to establish more flexible new families of distributions by adding a parameter to a distribution. In this article, Marshall-Olkin extended Burr type XII (MOEBXII) distribution is introduced. Properties of MOEBXII distribution are studied and analyzed. Based on complete sample, maximum likelihood and Bayesian estimators of the parameters are derived. Application to a real data set is carried out to illustrate the flexibility of the model.
Subfields: Safety, Risk, Reliability and Quality, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/abf683e0c1198180ea9db3f2d8746f3f1a6b266a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Safety, Risk, Reliability and Quality
In Statistics and Probability
- G. Hamedani
- Nadeem Shafique Butt
- Zubair Ahmad
- Haitham M. Yousof
- Morad Alizadeh
- Ahmed Z. Afify
- Faton Merovci
Citations in the corpus
- Recent Developments in Distribution Theory: A Brief Survey and Some New Generalized Classes of distributions (2019, background): “( ) ( ) 1 cos 2 , 1 , 1 F x e G e x x − − = − (16)”
- The four-parameter Burr XII distribution: Properties, regression model, and applications (2018, unknown): “© Taylor & Francis Group, LLC introduced the beta exponentiated BXII, Al-Saiari et al. (2014) studied the Marshall-Olkin extended BXII, and Mead and Afify (2017) investigated the Kumaraswamy exponentiated BXII distributions.”