| Article ID: | iaor20003718 |
| Country: | Singapore |
| Volume: | 14 |
| Issue: | 1 |
| Start Page Number: | 115 |
| End Page Number: | 126 |
| Publication Date: | May 1997 |
| Journal: | Asia-Pacific Journal of Operational Research |
| Authors: | Subba Rao S., Zhao Quanshui |
| Keywords: | quality & reliability |
A nonparametric renewal function estimator based on kernel density estimation is developed. The new approach can provide a smoothly estimated renewal function, and have smaller mean square errors than the traditional renewal function estimators in the literature. The kernel density estimation is successfully applied.