Sensitivity analysis of censoring schemes in progressively type-II right censored order statistics

Uoseph Hamdi Salemi (), Esmaile Khorram (), Yuancheng Si () and Saralees Nadarajah ()
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Uoseph Hamdi Salemi: Amirkabir University of Technology
Esmaile Khorram: Amirkabir University of Technology
Yuancheng Si: University of Manchester
Saralees Nadarajah: University of Manchester

OPSEARCH, 2020, vol. 57, issue 1, No 9, 163-189

Abstract: Abstract We study the sensitivity of some optimality criteria based on progressively type-II right censored order statistics scheme changes and explain how the sensitivity analysis helps to find the optimal censoring schemes. We find that determining an optimal censoring plan among a class of one-step censoring schemes is not always recommended. We consider optimality criteria as the model output of a sensitivity analysis problem and quantify how this model depends on its input factor and censoring scheme, using local and global sensitivity methods. Finally, we propose a simple method to find the optimal scheme among all possible censoring schemes.

Keywords: Global sensitivity method; Local sensitivity method; Optimality criteria (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s12597-019-00419-7

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