三参数威布尔分布下磨损失效期阈值参数的估计

Takatoshi Sugiyama, T. Ogura, T. Sugiyama
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引用次数: 4

摘要

我们的目的是估计三参数威布尔分布的磨损失效期的阈值参数。本文提出了基于阶统计量的最小方差线性无偏估计量,用TBEST表示。在第2节中,我们通过对偏差和均方误差(MSE)的仿真研究,将TBEST与现有的阈值参数估计器进行比较,验证了TBEST的有效性。我们的结果表明,TBEST需要所有阶统计量,除了指数分布的情况,在指数分布中,TBEST被简化为仅基于最小观测值的无偏估计量。在第3节中,通过仿真研究,我们比较了TBEST和其他已知具有良好性能的估计器。在模拟结果中,大多数情况下,TBEST的偏差和MSE最小。我们还展示了一个数值例子来测量mcool(1974)轴承的疲劳寿命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of the threshold parameter of a wear-out failure period in the case of a three-parameter Weibull distribution
We aimed to estimate the threshold parameter for the wear-out failure period of a three-parameter Weibull distribution. In this paper, we propose the minimum-variance linear unbiased estimator based on order statistics, which is denoted by 'TBEST'. In Section 2, we verify the validity of TBEST by comparing it with the existing threshold parameter estimator, based on simulation studies of bias and mean squared error (MSE). Our results show that TBEST requires all order statistics, except for the case of an exponential distribution, in which TBEST is reduced to an unbiased estimator based on the smallest observation only. In Section 3, by simulation studies, we compare TBEST and other estimators known to have good performances. In the simulation results, bias and MSE of TBEST were the smallest in most cases. We also show a numerical example to measure fatigue lives in hours of ten bearings from McCool (1974).
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