评价有分歧实验数据的新方法(英文)

A Method of Evaluating Discrepant Data

简要介绍了有分歧实验数据的几种数据处理方法，分析比较了这些方法的各自优缺点，在此基础上提出了一新处理方法——二次平均法，并以^7Be的半衰期和γ发射几率为例。

In present paper several methods of evaluating discrepant data are introduced and compared each other briefly. Theadvantage and disadvantage of these methods（WM： weighted mean, LRSW： Limitation of relative statistical weights, MBAYS： Modified Bayesian γechnique, NR： Normalized Residuals, and RA： Rajeval technique） are outlined. On the basis of these analysis and comparison, a new method i.e. Double- Mean method （DM） of evaluating discrepant data was proposed. TheDouble-Mean method takes into account the experimental uncertainties of different authors and all the available experimental information is fully considered. γhus the evaluated values of DM are less dependent on discrepant data and the uncertainties of the evaluated values are more reliable, i.e., the deviation between the evaluated results and the ＂true＂ values smaller than the other evaluation methods. Theapplication of using the measured half-life and γ emission probability for ^7Be is given as an example. Theresults of half-life and γ emission probability deduced from the present work are γ1/2=（53.282±0.012）d and Pγ,=（10.45±0.04）%, respectively.