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政大典藏 > College of Commerce > Department of Business Administation > Periodical Articles > Item 140.119/100720

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/100720

Title:	Comparison of renewal function estimators for censored data
Authors:	唐揆 Schneider, H.;Lin, B.S.;Tang, Kwei
Contributors:	企管系
Keywords:	Nonparametric estimator;Renewal Function;Estimation;Random Censoring;Warranty Analysis;Reliability;Weibull Distribution;Gamma Distribution
Date:	1992
Issue Date:	2016-08-24 17:23:54 (UTC+8)
Abstract:	The computation of the renewal function when the distribution function is completely known has received much attention in the literature. However, in many cases the form of the distribution function is unknown and has to be estimated nonparametrically. A nonparametric estimator for the renewal function for complete data was suggested by Frees (1986). In many cases, however, censoring of the lifetime might occur. We shall present parametric and nonparametric estimators of the renewal function based on censored data. In a simulation study we compare the nonparametric estimators with parametric estimators for the Weibull and lognormal distribution. The study suggests that the nonparametric estimator is a viable alternative to the parametric estimators when the lifetime distribution is unknown. Also, the nonparametric estimator is computationally simpler than the parametric estimator.
Relation:	Journal of Statistical Computation and Simulation, 42, 125-135
Data Type:	article
DOI link:	http://dx.doi.org/10.1080/00949659208811416
DOI:	10.1080/00949659208811416
Appears in Collections:	[Department of Business Administation] Periodical Articles

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