Abstract
This paper presents bootstrap confidence intervals for the optimal time and the minimum cost of a periodic preventive replacement policy. The bootstrap is applied to different parametric and nonparametric estimators of the renewal function and thus of the cost function. A simulation study shows that the bootstrap approach can prove useful in practice for some estimators.
Keywords
- Optimal Policy
- Coverage Probability
- Replacement Policy
- Nonparametric Estimator
- Bootstrap Confidence Interval
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Croteau, P., Cléroux, R., Léger, C. (2005). Bootstrap Confidence Intervals for Periodic Preventive Replacement Policies. In: Duchesne, P., RÉMillard, B. (eds) Statistical Modeling and Analysis for Complex Data Problems. Springer, Boston, MA. https://doi.org/10.1007/0-387-24555-3_8
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DOI: https://doi.org/10.1007/0-387-24555-3_8
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-24554-6
Online ISBN: 978-0-387-24555-3
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