Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/13626
Title: Burr X Exponential – G Family of Distributions: Properties and Application
Authors: Sanusi, A. A.
Doguwa, S. I. S.
Audu, I.
Baraya, Y. M.
Keywords: Burr X E – G family of distributions
Burr X exponential – Rayleigh distribution
Burr X exponential – Lomax distribution
moment generating function
Renyi entropy
order statistics
probability weighted moment
maximum likelihood estimation
Issue Date: 2020
Publisher: Asian Journal of Probability and Statistics
Series/Report no.: 7(3);58-75
Abstract: In this paper, we developed a new class of continuous distributions called Burr X Exponential-G Family. Also, we obtained sub-models of this family of distributions such as Burr X Exponential-Rayleigh (BXER) and Burr X Exponential Lomax (BXE-Lx) distributions; by showing their respective densities functions. Some structural properties of the proposed family of distributions were derived such as moment, moment generating function, probability weighted moment, renyi entropy and order statistics. We estimate the parameters of the model by using Maximum Likelihood methods. Finally, the results obtained are validated using two real data sets. The results show that BXE-Lx distribution provides better fit in the data sets than some other well known distributions. However, this new family of distributions will serve as an additional generator for developing new sub models to modeling positive real data sets.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/13626
ISSN: 2582-0230
Appears in Collections:Statistics

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