Author(s):
1. Bakang Tlhaloganyang:
Department of Mathematics & Statistical Sciences, Botswana International University of Science and Technology,,Botswana
2. Whatmore Sengweni:
Department of Mathematics & Statistical Sciences, Botswana International University of Science and Technology,,Botswana
3. Broderick Oluyede:
Department of Mathematics & Statistical Sciences, Botswana International University of Science and Technology,,Botswana
Abstract:
A new family of distributions called Gamma Odd Burr X-G (GOBX-G) distribution is introduced in this paper. Its structural properties such as the survival function, hazard function, density expansion, quantile function, moments and generating functions, incomplete moments, probability weighted moments, Re´nyi entropy and order statistics were derived. Maximum likelihood technique is used to estimate the parameters of this model. The flexibility and applicability of this model is demonstrated using real life datasets.
Page(s):
721-746
Published:
Journal: Pakistan Journal of Statistics and Operation Research, Volume: 18, Issue: 3, Year: 2022
Keywords:
Maximum likelihood estimation
,
Weibull distribution
,
Gamma Distribution
,
Family of distributions
,
Odd Burr XG distribution
References:
References are not available for this document.
Citations
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