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Measurement Uncertainties and Efficiencies Using Correlated and Un-correlated Cycles of Comparison Measurements

机译:使用相关和未相关的比较测量循环测量不确定性和效率

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Comparison measurements between a standard and a test object may be performed and evaluated by various sequences of measurement cycles in repetition. It is understood that from each cycle a single measurement result and from the total number of them a mean and an uncertainty are evaluated. Consecutive cycles may have independent data or a certain number of common data. When evaluating of the measurement uncertainty of the mean, cycles with common data have to be considered as correlated and corresponding procedures have to be observed, which differ from the statistical procedure for a number of independent observations. Here, the uncertainty calculation for the often-used correlated RTR cycle is presented followed by a calculation for any type of correlated or uncorrelated cycle. Finally, an efficiency is defined and discussed for some selected cycles.
机译:可以通过重复中的各种测量周期进行标准和测试对象之间的比较测量。 据了解,从每个循环开始单个测量结果和从它们的总数和不确定性评估。 连续循环可能具有独立数据或一定数量的常见数据。 当评估平均值的测量不确定度时,必须认为具有常见数据的循环,并且必须观察到相应的程序,这与许多独立观察的统计程序不同。 这里,提出了经常使用的相关RTR周期的不确定性计算,然后呈现任何类型的相关或不相关循环的计算。 最后,针对一些选定的循环定义和讨论了效率。

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