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在精度和平均值之间有已知的关系的情况下,测量不确定性间隔
Steffen Uhlig1, Bertrand Colson1, Petra Gowik2
1QuoData GmbH, Dresden, Saxony, 01309, Germany.
F1000Research
|January 26, 2024
概括
这项研究引入了一种计算测量不确定性的新方法,当数据是异构时,这种方法特别有用. 它展示了不对称的不确定性间隔如何可以提供比传统的对称间隔更可靠的结果.
科学领域:
- 计量学和测量科学 计量学和测量科学
- 分析化学 分析化学
- 统计分析 统计分析
背景情况:
- 传统的测量不确定性使用对称的间隔 (y±U),这可能会误导异性.
- 测量变异在不同度水平上有所不同的地方,对标准不确定性估计提出了挑战.
研究的目的:
- 引入一种用于计算测量不确定性间隔的新方法.
- 为了解决在存在异构性时对称间隔的局限性.
- 开发一个框架,从精确估计中推导出不确定性.
主要方法:
- 使用已知度的验证研究的数据.
- 计算基于不同度水平的精度估计的预测范围.
- 项目将测试结果与已知值进行测试,以推导测量不确定性.
主要成果:
- 证明了在特定条件下不对称的不确定性间隔的自然出现.
- 显示这些不对称的间隔导致更可靠的不确定性估计.
- 为常态分布的结果提供闭式表达式,其相对标准偏差是恒定的.
结论:
- 建立了一个概念框架,将测量不确定性与精度和度联系起来.
- 拟议的方法适用于各种分销类型.
- 为分析测量中的不确定性量化提供了更强大的方法.
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