Maisaa M. Hassan on Muck Rack

Maisaa M. Hassan

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Modeling engineering and medical lifetime data using a flexible extension of the XShanker distribution under censoring

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By Amal Hassan, Ghadah A. Alomani, Amer Ibrahim Al-Omari, Maisaa M. Hassan
| Nature
Abstract The complexity of today’s lifetime data necessitates more adaptable probability models. To address this need, we develop the Cosine Topp-Leone XShanker Distribution (CTL–XSD), a novel two-parameter extension of the XShanker distribution. We provide the mathematical properties of the new model, including its moments, incomplete moments, identifiability, quantiles, Lorenz curve, and Bonferroni curve.
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