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[统计数据] 加速试验模型综述 [推广有奖]

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何人来此 在职认证  发表于 2022-3-6 15:16:25 来自手机 |AI写论文

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摘要翻译:
几十年来,制造业的工程师们一直在使用加速测试(AT)实验。AT实验的目的是快速获取可靠性信息。材料、部件、子系统或整个系统的测试单元承受着高于通常水平的一个或多个加速变量,如温度或应力。然后,利用AT结果对机组在使用条件下的寿命进行了预测。外推通常是基于物理动机模型或经验模型拟合与测试类似单元的足够数量的先前经验的组合来证明(正确或不正确)的。由于需要在时间和加速变量中进行外推,通常需要使用完全参数化的模型。统计学家在以下方面作出了重要的贡献:为AT数据建立适当的随机模型[通常是这种分布的参数与加速变量之间的响应和回归关系的分布]、AT计划的统计方法(加速变量水平的选择和对这些水平的可用测试单元的分配)和适当可靠性度量的估计方法。本文综述了许多在这一领域成功使用的AT模型。
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英文标题:
《A Review of Accelerated Test Models》
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作者:
Luis A. Escobar, William Q. Meeker
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最新提交年份:
2007
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分类信息:

一级分类:Statistics        统计学
二级分类:Methodology        方法论
分类描述:Design, Surveys, Model Selection, Multiple Testing, Multivariate Methods, Signal and Image Processing, Time Series, Smoothing, Spatial Statistics, Survival Analysis, Nonparametric and Semiparametric Methods
设计,调查,模型选择,多重检验,多元方法,信号和图像处理,时间序列,平滑,空间统计,生存分析,非参数和半参数方法
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英文摘要:
  Engineers in the manufacturing industries have used accelerated test (AT) experiments for many decades. The purpose of AT experiments is to acquire reliability information quickly. Test units of a material, component, subsystem or entire systems are subjected to higher-than-usual levels of one or more accelerating variables such as temperature or stress. Then the AT results are used to predict life of the units at use conditions. The extrapolation is typically justified (correctly or incorrectly) on the basis of physically motivated models or a combination of empirical model fitting with a sufficient amount of previous experience in testing similar units. The need to extrapolate in both time and the accelerating variables generally necessitates the use of fully parametric models. Statisticians have made important contributions in the development of appropriate stochastic models for AT data [typically a distribution for the response and regression relationships between the parameters of this distribution and the accelerating variable(s)], statistical methods for AT planning (choice of accelerating variable levels and allocation of available test units to those levels) and methods of estimation of suitable reliability metrics. This paper provides a review of many of the AT models that have been used successfully in this area.
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PDF链接:
https://arxiv.org/pdf/708.0369
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关键词:Accelerating distribution relationship Contribution statistician typically 机组 levels many 作出

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