We obtain, for the ΓΏrst time in the literature, the central limit theorem for nonparametric sample entropy estimators in its full generality together with maximum likelihood entropy estimators. Also we provide a new proof of the consistency of the estimators to correct some problems in Vasicek's ori
Nonparametric estimation of the limiting availability
β Scribed by Laurence A. Baxter; Linxiong Li
- Publisher
- Springer
- Year
- 1996
- Tongue
- English
- Weight
- 521 KB
- Volume
- 2
- Category
- Article
- ISSN
- 1380-7870
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β¦ Synopsis
The point availability of a repairable system is the probability that the system is operating at a specified time. As time increases, the point availability converges to a positive constant called the limiting availability. Baxter and Li (1994a) developed a technique for constructing nonparametric confidence intervals for the point availability. However, nonparamelric estimators of the limiting availability have not previously been studied in the literature. In this paper, we consider two separate cases: (1) the data are complete and (2) the data are subject to right censorship. For each case, a nonparametfic confidence interval for the limiting availability is derived. Applications and simulation studies are presented.
π SIMILAR VOLUMES
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