Obtaining Uncertainty Estimates Compatible with Estimates of Monte Carlo Method

被引：0
|
作者：
Zakharov, Igor [1 ,2 ]
Botsiura, Olesia [2 ]
Neyezhmakov, Pavel [1 ]
机构：
[1] Natl Sci Ctr, Inst Metrol, Kharkov, Ukraine
[2] Kharkiv Natl Univ Radio Elect, Kharkov, Ukraine
来源：
2019 PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON MEASUREMENT (MEASUREMENT 2019) | 2019年
关键词：
Standard Uncertainty; Expanded Uncertainty; Monte Carlo Method; Kurtosis;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The proposed approaches to the implementation of the algorithm for processing the results and the measurement uncertainty evaluation based on the Bayesian method are considered. Expressions to obtain unbiased estimates of the measurand, its standard and expanded uncertainties are given. It is shown that to obtain standard and expanded uncertainty, it is necessary to take into account the kurtosis of the input quantities distributions.
引用
收藏
页码：47 / 50
页数：4
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