Accounting for the kurtoses of input quantities in the procedure of evaluating measurement uncertainty using the example of weight calibration
Copyright policy )Accounting for the kurtoses of input quantities in the procedure of evaluating measurement uncertainty using the example of weight calibration
Example 9.3.1.1 of JCGM-S1 “Mass calibration” is analyzed, which describes the comparison in air of reference and calibrated weights having the same nominal mass. JCGM-S1 compares uncertainty evaluation procedures based on the GUM uncertainty framework and the Monte Carlo method. The article uses the procedure developed by the authors and consists in decomposing the measurement model into a Taylor series of the second order taking into account the kurtoses of the distributions of input quantities. To facilitate the calculations, the finite increment method is used. To find expanded uncertainty, the kurtosis method is used. Good agreement between the results obtained by the proposed method and the result obtained by the Monte Carlo method is shown.
УДК 006.91:053.088, неопределенность измерений; калибровка; гиря; нелинейное модельное уравнение; метод эксцессов, measurement uncertainty; calibration; weight; nonlinear model equation; kurtosis method, UDC 006.91:053.088, невизначеність вимірювань; калібрування; гиря; нелінійне модельне рівняння; метод ексцесів
УДК 006.91:053.088, неопределенность измерений; калибровка; гиря; нелинейное модельное уравнение; метод эксцессов, measurement uncertainty; calibration; weight; nonlinear model equation; kurtosis method, UDC 006.91:053.088, невизначеність вимірювань; калібрування; гиря; нелінійне модельне рівняння; метод ексцесів
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!