A new bimodal distribution for modeling asymmetric bimodal heavy-tail real lifetime data
Nadeem S Butt, Mohamed G Khalil
Symmetry, 12(12), 1-27 (2020) .
2020
Full text: http://dx.doi.org/10.3390/sym12122058
Abstract
We introduced and studied a new generalization of the Burr type X distribution. Some of its properties were derived and numerically analyzed. The new density can be “right-skewed” and symmetric with “unimodal” and many “bimodal” shapes. The new failure rate can be “increasing,” “bathtub,” “J-shape,” “decreasing,” “increasing-constant-increasing,” “reversed J-shape,” and “upside-down (reversed U-shape).” The usefulness and flexibility of the new distribution were illustrated by means of four asymmetric bimodal right-and left-heavy tail real lifetime data.
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