Testing of data evaluation methods
Testing of data evaluation methods
复制标题
数据评估方法测试
DOI：
10.1016/0168-9002(94)91796-5
复制
发表时间：
1994
影响因子：
1.4
通讯作者：
P. W. Gray
中科院分区：
文献类型：
--
作者：
S. Kafala;T. D. Macmahon;P. W. Gray
当确定一个物理量的推荐值时，评估者有时会面临如何最好地得出这样一个值的问题。文献检索通常会从不同的实验或实验室得到不一致的值。在目前的工作中，在过去二十年中提出的一些数据评估程序已经在具有不同类型异常值的随机生成的数据集上进行了测试。将改进的贝叶斯方法应用于半衰期数据，得到了137 Cs= 10985±12 d, 90 Sr= 10544±20 d, 154 Eu= 3138.5±0.3 d, 252 Cf= 968.0±0.8 d。
When determining the recommended value for a physical quantity, the evaluator is sometimes faced with the problem of how best to derive such a value. A literature search often yields discrepant values from different experiments or laboratories. In the present work a number of data evaluation procedures proposed in the last two decades have been tested on randomly generated data sets with different types of outliers. A modified Bayesian procedure is shown to be the most reliable, and this method has been applied to half-life data to give the following values: 137 Cs= 10985±12 d, 90 Sr= 10544±20 d, 154 Eu= 3138.5±0.3 d and 252 Cf= 968.0±0.8 d.