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历史 ASTM D6617-05
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Standard Practice for Laboratory Bias Detection Using Single Test Result from Standard Material 使用标准材料的单次测试结果进行实验室偏差检测的标准操作
发布日期: 2005-11-01
1.1本实施规程涵盖了一种方法,该方法基于用户指定的I型误差、用户建立的测试方法精度、ARV的标准误差,为CS及其ARV上的测试方法的单一实施获得的结果之间的差异建立可接受的公差带,以及假设实验室正在无偏差地执行测试方法。 注1 在本实施规程中,术语用户指本实施规程的用户;实验室(见)一词是指执行试验方法的组织或实体。 1.2对于在中建立的公差带,提出了一种方法,用于在存在用户指定的偏差(正或负)的情况下,估计单个测试结果落在公差带之外的概率,该偏差被认为是实际问题(即,假设假设不成立)。 1.3本规程适用于ASTM委员会D02试验方法,该试验方法可在连续的数字尺度上产生结果。 1.4本规程假设正态(高斯)模型足以描述和预测处于统计控制状态的测量系统行为。 注释2 虽然本实践不包括在现场精度或重复性条件下在同一个CS上获得多个结果的场景,但提出的统计概念是适用的。建议希望将这些概念应用于所述场景的用户咨询统计学家,并参考实践D 6299中描述的CS方法。 1.5软件程序SiteBias 1.0.1版(ADJD6617)执行本规程规定的必要计算。 ====意义和用途====== 执行石油测试方法的实验室可以使用本规程,根据以下条件为CS或CCS材料的不频繁测试设定可接受的公差带: ε ,以及所需的I型误差,以确定试验方法是否在无偏差的情况下进行。 该实践可用于使用中设置的可接受公差带估计正确检测不同幅度偏差的能力 4.1 因此,深入了解与该可接受公差带相关的真实偏差检测能力的局限性。有了这一见解,可以在期望的I型误差和期望的偏差检测能力之间进行权衡,以满足特定的业务需求。 本实施规程中描述的CS测试活动旨在增强而不是取代实施规程D 6299中描述的测试方法性能的常规统计监测 .
1.1 This practice covers a methodology for establishing an acceptable tolerance zone for the difference between the result obtained from a single implementation of a test method on a CS and its ARV, based on user-specified Type I error, the user-established test method precision, the standard error of the ARV, and a presumed hypothesis that the laboratory is performing the test method without bias. Note 1 Throughout this practice, the term user refers to the user of this practice; and the term laboratory (see ) refers to the organization or entity that is performing the test method. 1.2 For the tolerance zone established in, a methodology is presented to estimate the probability that the single test result will fall outside the zone, in the event that there is a bias (positive or negative) of a user-specified magnitude that is deemed to be of practical concern (that is, the presumed hypothesis is not true). 1.3 This practice is intended for ASTM Committee D02 test methods that produce results on a continuous numerical scale. 1.4 This practice assumes that the normal (Gaussian) model is adequate for the description and prediction of measurement system behavior when it is in a state of statistical control. Note 2 While this practice does not cover scenarios in which multiple results are obtained on the same CS under site precision or repeatability conditions, the statistical concepts presented are applicable. Users wishing to apply these concepts for the scenarios described are advised to consult a statistician and to reference the CS methodology described in Practice D 6299. 1.5 Software program SiteBias, Version 1.0.1 (ADJD6617) performs the necessary calculations prescribed by this practice. ====== Significance And Use ====== Laboratories performing petroleum test methods can use this practice to set an acceptable tolerance zone for infrequent testing of CS or CCS material, based on ε , and a desired Type I error, for the purpose of ascertaining if the test method is being performed without bias. This practice can be used to estimate the power of correctly detecting bias of different magnitudes, using the acceptable tolerance zone set in 4.1 , and hence, gain insight into the limitation of the true bias detection capability associated with this acceptable tolerance zone. With this insight, trade-offs can be made between desired Type I error versus desired bias detection capability to suit specific business needs. The CS testing activities described in this practice are intended to augment and not replace the regular statistical monitoring of test method performance as described in Practice D 6299 .
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归口单位: D02.94
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