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Measurement Uncertainty Evaluation for Least Squares Best-Fit Lines

机译:测量最小二乘最佳配合线的不确定性评估

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Least squares best-fit Line calculations have become a routine measurement tool. Unfortunately, although of great importance, the evaluation of uncertainty consistent with the Guide to the Expression of Uncertainty in Measurement (Guide) for parameters of the line, has not been routine. All too often, the estimation of uncertainty has simply involved the product of a coverage factor and the calculated standard deviation, with little consideration for the level of confidence. This paper presents simple formulas in worksheet format that enables the calculation of uncertainty for best-fit line parameters. Covered are uncertainties for the slope of the line, the data points of the line, the interpolated points, and the line as a whole. The uncertainty calculations are consistent with the (Guide), in that they have both an interval of confidence and level of confidence as in traditional Type A measurement uncertainty evaluations. In addition, examples are provided which are suitable for use as models.
机译:最小二乘最佳拟合线计算已成为常规测量工具。不幸的是,虽然具有重要意义,但与指南的不确定性的评估符合指南的测量(指南)的参数,尚未常规。通常情况下,不确定性的估计简单地涉及覆盖因子和计算的标准差的产品,很少考虑到置信水平。本文介绍了工作表格式的简单公式,可以计算最佳合适的线参数的不确定性。涵盖的是线路斜率的不确定性,线路的数据点,内插点和整个线。不确定性计算与(指南)一致,因为它们在传统类型中具有置信度和信心水平的间隔,其测量不确定性评估。另外,提供了适用于模型的实例。

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