Odd Chen-G Family of Distributions

Lea Anzagra (), Solomon Sarpong () and Suleman Nasiru ()
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Lea Anzagra: University for Development Studies
Solomon Sarpong: University for Development Studies
Suleman Nasiru: University for Development Studies

Annals of Data Science, 2022, vol. 9, issue 2, No 11, 369-391

Abstract: 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.

Keywords: Odd; Chen; Lomax; Statistical distribution; Quantile; 62E15; 60E05 (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s40745-020-00248-2

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