Balakrishnan, NarayanaswamyCastilla González, Elena MaríaMartín, NPardo Llorente, Leandro2023-06-172023-06-1720210018-952910.1109/TR.2021.3062289https://hdl.handle.net/20.500.14352/7278In this paper, we develop robust estimators and tests for one-shot device testing under proportional hazards assumption based on divergence measures. Through a detailed Monte Carlo simulation study and a numerical example, the developed inferential procedures are shown to be more robust than the classical procedures, based on maximum likelihood estimators.engDivergence-based robust inference under proportional hazards model for one-shot device life-testjournal articlehttp://ieeexplore.ieee.org/xpl/RecentIssue.jsp/?punumber=24open access519.22519.245Monte-carlo simulationMathematical statisticsEstadística matemática (Matemáticas)1209 Estadística