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Annals of Data Science

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16-03-2020

Odd Chen-G Family of Distributions

Authors: Lea Anzagra, Solomon Sarpong, Suleman Nasiru

Published in: Annals of Data Science | Issue 2/2022

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Abstract

Classical distributions do not always provide reasonable fit to all forms of datasets, hence the need to generalize existing distributions to enhance their flexibility in modeling of data. The study developed the odd Chen-G family of distributions. It derives the statistical properties of the new family such as the quantile, moments, and order statistics. Though capable of generalizing other distributions, the study proposed three special distributions; odd Chen Burr III, odd Chen Lomax and odd Chen Weibull distributions. The application of the new family is then demonstrated using real data.

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Title: Odd Chen-G Family of Distributions
Authors: Lea Anzagra
Solomon Sarpong
Suleman Nasiru
Publication date: 16-03-2020
Publisher: Springer Berlin Heidelberg
Published in: Annals of Data Science / Issue 2/2022
Print ISSN: 2198-5804
Electronic ISSN: 2198-5812
DOI: https://doi.org/10.1007/s40745-020-00248-2

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