%0 Journal Article
%A Balakrishnan, Narayanaswamy
%A Castilla González, Elena María
%A Martín, N
%A Pardo Llorente, Leandro
%T Divergence-based robust inference under proportional hazards model for one-shot device life-test
%D 2021
%@ 0018-9529
%U https://hdl.handle.net/20.500.14352/7278
%X In 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.
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