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Research Article Open access CC BY 4.0

On Making an Informed Choice between Two Lomax-based Continuous Probability Distributions Using Lifetime Data

Terna Godfrey Ieren, Samuel Oluwafemi OYAMAKIN, Abubakar Yahaya, Angela Unna Chukwu, Adamu Abubakar Umar, Samson Kuje

Asian Journal of Probability and Statistics · pp. 1–11 · Published 31 Dec 2018

10.9734/ajpas/2018/v2i228780

Abstract

Probability distributions and their generalisations have contributed greatly in the modeling and analysis of random variables. However, due to the increased introduction of new distributions there has been a major problem with choosing and applying the right distribution for a given set of data. In most cases, it is discovered that the data set in question fits two or more probability distributions and hence one must be chosen among others. The Lomax-Weibull and Lomax-Log-Logistic distributions introduced in an earlier study using a Lomax-based generator were found to be positively skewed and may be victims of this situation especially when modelling positively skewed datasets. In this article, we apply the two distributions to some selected datasets to compare their performance and provide useful insight on how to select the most fit among them when dealing with a real-life situation. We used the log-likelihood value, AIC, CAIC, BIC, HQIC, Cramér-Von Mises (W*) and Anderson Darling (A*) statistics as performance evaluation tools for selecting between the two distributions.

Lomax-Weibull distribution Lomax-Log-Logistic distribution Lomax-based generator performance evaluation

Cited by 15

A Study on Properties and Applications of a Lomax Gompertz-Makeham Distribution

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Investigation of scale parameter for the Weibull-Chen distribution

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