Nonparametric Estimation of Quantile-Based Mean Inactivity Time Function
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.
Authors
- P. G. Sankaran
- Sreenarayanapurath Madhavan Sunoj
- Ivallappil Chenichery Aswin
Institutions
- Cochin University of Science and Technology (IN)
Publication Details
- Journal
- Statistica
- Published
- 2026-03-03
- DOI
- https://doi.org/10.60923/issn.1973-2201/19750
- Primary Topic
- Statistical Methods and Inference
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University Grants Commission
- Cochin University of Science and Technology