Modeling engineering and medical lifetime data using a flexible extension of the XShanker distribution under censoring
Amal S Hassan, Ghadah Alomani, Amer Ibrahim Al-Omari, Maisaa M Hassan · 2026
Read Modeling engineering and medical lifetime data using a flexible extension of the XShanker distribution under censoring by Amal S Hassan, Ghadah Alomani, Amer Ibrahim Al-Omari, Maisaa M Hassan (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13447818.txt.
Description
Amal S Hassan and coauthors develop a 2026 flexible chance model, the Cosine Topp-Leone XShanker spread, for life data in building and care. The two-knob add-on adds moments, cut points, Lorenz and Bonferroni curves, with standard and Bayesian gauging under Type-II cutoff.
Markov chain Monte Carlo gauging supplied point and range guesses under varied loss functions, with long-run ranges from Fisher information. Number studies tested gauge scores, and the new model beat rivals on fit stats and information rules for both building and medical data sets. Analysts gain a tractable, flexible tool for cut life data.
Catalog record
| CREATOR | Amal S Hassan, Ghadah Alomani, Amer Ibrahim Al-Omari, Maisaa M Hassan |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 70 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |