| Autor: |
Raymarakkar Sidhiq, Rasin, Sunoj, Sreenarayanapurath Madhavan, Szymkowiak, Magdalena |
| Předmět: |
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| Zdroj: |
Journal of Statistical Computation & Simulation; Jun2024, Vol. 94 Issue 9, p1857-1873, 17p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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