An exact and interpretable test for detecting aging behavior in reliability and survival data
Ibrahim A Nafisah, Mohamed Kayid · 2026
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Description
Ibrahim Nafisah and Mohamed Kayid present this 2026 PLOS One statistics paper on detecting whether things wear out with age. In reliability work, the baseline assumption is that failures strike at a constant random rate; the question is whether data show risk creeping upward over time instead. The authors build a test that measures departure from that baseline in a way users can interpret directly.
Unusually, their test yields exact answers for small samples rather than relying on large-sample approximations, and a scale-free version removes the need to know unknown parameters. Computer simulations against several lifetime patterns showed strong detection power compared with existing tests. The authors also apply it to real datasets, arguing it gives engineers and medical researchers a trustworthy way to judge aging behavior.
Catalog record
| CREATOR | Ibrahim A Nafisah, Mohamed Kayid |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 64517 |
| LICENSE | CC_BY |
| RIGHTS | CC BY |
| SOURCE | PLOS |