In this paper, a new probability model is produced, which is actually a modification of the Lomax distribution, called
Flexible Lomax (FL). The Flexible Lomax performs better than Lomax and its other invariants. The statistical properties of the
Flexible Lomax distribution including quantile function, maximum likelihood estimation, order statistics, and rth moments are
derived. To illustrate the efficiency of the proposed distribution, we use two real-life data sets and the results are then compared
by means of AIC, CAIC, BIC, and HQIC. It is shown that the proposed distribution fits these data better than Lomax and its
different variants.
Keywords
Rth moment, quantile function, characteristic function, median, mode, order statistics, TTT plots, maximum likelihood estimation
SONGKLANAKARIN JOURNAL OF SCIENCE & TECHNOLOGY
Published by : Prince of Songkla University Contributions welcome at : http://rdo.psu.ac.th
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