Divergence-based robust inference under proportional hazards model for one-shot device life-test
Applications
2020-04-29 v1
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.
Cite
@article{arxiv.2004.13382,
title = {Divergence-based robust inference under proportional hazards model for one-shot device life-test},
author = {N. Balakrishnan and E. Castilla and N. Martin and L. Pardo},
journal= {arXiv preprint arXiv:2004.13382},
year = {2020}
}