Evaluation for repeatability and reproducibility of information poor process

X. Xia, Qing Zhou, Jianmin Zhu
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Abstract

Poor information means incomplete and insufficient information, such as small sample and unknown distribution. As for the evaluation of repeatability and reproducibility in an information poor process, statistical methods which relied on large sample sizes and known distributions may become ineffective. For this end, a method for analysis of the point variation, the interval variation, and the comprehensive variation is proposed to appraise the repeatability and reproducibility. The method indicates that the smaller the variation between the measured data, the better the repeatability and reproducibility. Case studies show that the proposed method allows the number of the data to be very little and the probability distribution to be unknown.
评估可重复性和可再现性信息差的过程
贫信息是指信息不完整、不充分,如样本小、分布未知。在信息贫乏的过程中,对于重复性和再现性的评价,依赖于大样本量和已知分布的统计方法可能会失效。为此,提出了一种分析点变分、区间变分和综合变分的方法来评价可重复性和再现性。该方法表明,测量数据之间的差异越小,重复性和再现性越好。实例研究表明,该方法允许数据数量很少,且概率分布是未知的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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