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    政大機構典藏 > 商學院 > 企業管理學系 > 期刊論文 >  Item 140.119/100720


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    题名: Comparison of renewal function estimators for censored data
    作者: 唐揆
    Schneider, H.;Lin, B.S.;Tang, Kwei
    贡献者: 企管系
    关键词: Nonparametric estimator;Renewal Function;Estimation;Random Censoring;Warranty Analysis;Reliability;Weibull Distribution;Gamma Distribution
    日期: 1992
    上传时间: 2016-08-24 17:23:54 (UTC+8)
    摘要: 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.
    關聯: Journal of Statistical Computation and Simulation, 42, 125-135
    数据类型: article
    DOI 連結: http://dx.doi.org/10.1080/00949659208811416
    DOI: 10.1080/00949659208811416
    显示于类别:[企業管理學系] 期刊論文

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