Nonparametric Estimation of Quantile-Based Mean Inactivity Time Function
DOI:
https://doi.org/10.60923/issn.1973-2201/19750Keywords:
Mean inactivity time function, Kernel density estimation, Quantile function, Mean squared errorAbstract
In this article, we propose non-parametric estimators for mean inactivity time function for complete and censored data. The asymptotic properties of the estimators are established using suitable regularity conditions. Monte Carlo simulation studies are used to study the efficiency of the estimators. Three real data sets are used to demonstrate the usefulness of the estimation procedure.
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