Abstract
In several reliability applications, there may not be a unique plausible scale in which to analyze failure. In this paper, I consider semiparametric methods of time scale selection. I propose a rank-based estimator of the time scale parameters that can readily handle censored observations. I illustrate how to assess the form of the time scale through generalized residuals. I also give ideas for nonparametric estimation of the time scale.
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Duchesne, T. (2000). Semiparametric Methods of Time Scale Selection. In: Limnios, N., Nikulin, M. (eds) Recent Advances in Reliability Theory. Statistics for Industry and Technology. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-1384-0_18
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DOI: https://doi.org/10.1007/978-1-4612-1384-0_18
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4612-7124-6
Online ISBN: 978-1-4612-1384-0
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