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arXiv · 2004.13382

Divergence-based robust inference under proportional hazards model for one-shot device life-test

N. Balakrishnan·E. Castilla·N. Martin·L. Pardo
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Abstract

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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N. Balakrishnan, E. Castilla, N. Martin, L. Pardo. 2020-04-28. Divergence-based robust inference under proportional hazards model for one-shot device life-test. https://arxiv.org/abs/2004.13382

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