估计员
非参数统计
数学
功能(生物学)
危害
统计
计量经济学
生存功能
估计
工程类
进化生物学
生物
有机化学
化学
系统工程
作者
Rasin Raymarakkar Sidhiq,S. M. Sunoj,Magdalena Szymkowiak
标识
DOI:10.1080/00949655.2024.2306472
摘要
Aging Intensity (AI) function is a quantitative measure of hazard function (hazard rate/failure rate), which is used for evaluating the aging behaviour of a component/system. Although variety of research are now available on various properties such as modelling and analysis of AI function; however, a detailed theoretical study on the estimation of the same has not been considered. Accordingly, in the present study, we propose two nonparametric estimators for aging intensity function based on right-censored dependent data scheme and study their properties. Asymptotic properties of the estimators are established under suitable regularity conditions. A simulation study and real data analysis have been carried out to illustrate the performance of the estimators.
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