首页> 外文会议>PTB-Seminars >Simplified method for key comparison data evaluation. Evaluation of the degree of equivalence of the standards.
【24h】

Simplified method for key comparison data evaluation. Evaluation of the degree of equivalence of the standards.

机译:键比较数据评估的简化方法。评估标准的等价程度。

获取原文

摘要

The practical application of statistical methods of data processing always requires the certain assumptions concerning the initial data. When there is not enough a priory information for promotion or check of these assumptions, naturally, some doubts in the received results and their interpretation arise. As to the evaluation of key comparisons data, the measurement results obtained from different laboratories are, as a rule, correlated, but it's quite difficult to express quantitatively a degree of this correlation. So in practice often there is no valid information about the correlation matrix, that is necessary for uncertainty evaluation of reference value, as an estimate of the measurand, and uncertainty of deviations of measurement results from the reference value. It is necessary to emphasize one more aspect of key comparisons. There are two interconnected, but different tasks of key comparison: the assessment of equivalence of the national standards and the check of measurement result uncertainty assigned by each laboratory. The first task meets directly practical needs. According to MRA "The degree of equivalence is taken to mean the degree to which these standards are consistent with reference values determined from the key comparisons and hence are consistent with one another". The quantitative expression of equivalence, as a matter of fact, is a new way of expression of closeness (reproducibility) of the measurement results obtained from participating laboratories. The estimation of reproducibility is just important for the mutual recognition of measurement results from different laboratories. As to the second task, it is directly connected with the evaluation of the accuracy of the measurement results, finding - out of the reasons of systematic deviations between results of different laboratories. The knowledge of the correlation matrix of measurement results is necessary for the decision of the second task. For the decision of the first task - assessment of the equivalence of the national standards - the approach that does not require the knowledge of the correlation matrix and uses the key comparisons data model based on the mixture of probability distributions of measurement results in each laboratory is offered in the paper.
机译:数据处理统计方法的实际应用始终需要有关初始数据的某些假设。当没有足够的修道院信息来促进或检查这些假设,当然,在所接受的结果和他们的解释中有一些疑问。关于对关键比较数据的评估,从不同实验室获得的测量结果是规则相关的,但是很难明确地表达这种相关性。因此,在实践中,通常没有关于相关矩阵的有效信息,这是对参考值的不确定性评估所必需的,作为测量的估计,以及测量结果来自参考值的偏差的不确定性。有必要强调关键比较的另一个方面。有两个互联,但关键比较的不同任务:国家标准的等价性评估以及每个实验室分配的测量结果不确定性的检查。第一任务符合直接实用的需求。根据MRA“等价程度认为,这些标准与从关键比较确定的参考值符合的程度,因此彼此一致”。事实上,当量的量化表达是从参与实验室获得的测量结果的结束(再现性)的新方法。再现性的估计对于相互识别不同实验室的测量结果是重要的。对于第二任务,它与评估测量结果的准确性直接连接,发现 - 超出不同实验室结果之间系统偏差的原因。对第二任务的决定是必要的测量结果相关矩阵的知识。对于第一个任务的决定 - 评估国家标准的等价性 - 不要求相关矩阵知识的方法,并根据每个实验室的测量结果的概率分布的混合使用关键比较数据模型在论文中提供。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号