Failure Extropy from a Quantile Perspective
DOI:
https://doi.org/10.60923/issn.1973-2201/20723Keywords:
Bias, Failure extropy, Mean square error (MSE), Quantile functionAbstract
The present paper explores the domain of failure extropy through the lens of quantile-based concepts, introducing novel results to enhance our understanding of extreme events. Failure extropy, the measure of disorder and uncertainty associated with system breakdowns, is a critical aspect of risk assessment and reliability analysis. This study presents a comprehensive investigation into quantile-based methodologies, focusing on their applicability. We introduce a robust nonparametric estimator for failure extropy and lifetime data analysis.
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