- Bitlis Eren University Journal of Science and Technology
- Vol: 9 Issue: 2
- Nonparametric estimation of a renewal function in the case of censored sample
Nonparametric estimation of a renewal function in the case of censored sample
Authors : Çiğdem Cengiz
Pages : 54-57
Doi:10.17678/beuscitech.556451
View : 7 | Download : 4
Publication Date : 2019-12-27
Article Type : Research
Abstract :A renewal process is a counting process which counts the number of renewals that occurs as a function of time, wherein the durations between successive renewals are random variables independent of one another, with identical F distributions. The mean value function data is frequently needed in applications of renewal processes. For the renewal function, open expressions depending on distribution function F can be calculated from each other. However, even though the distribution function F is known, the renewal function cannot be obtained analytically except for a few distributions. In this study, in the case that F is totally unknown, life table management and Kaplan-Meier estimator were used depending on random right-censored sampling for the estimation of F value. Then, for the estimation of the renewal function value in the random right-censored data, nonparametric estimators were proposed and the problem of how to calculate these estimators were discussed.Keywords : Renewal function, random right-censored, Nonparametric