摘要
目的对集装箱储运铜矿石γ辐射剂量率代表值及置信区间采用bootstrap模拟取样进行估计。方法对集装箱储运铜矿石γ辐射剂量率现场测量数据基础统计学特征分析,采用内核密度估计对γ辐射剂量率数据分布特征进行研究,依据数据的非正态分布特征,使用bootstrap计算机模拟取样技术对铜矿石γ辐射剂量率现场数据模拟重复取样。结果以多次bootstrap模拟取样的均值与标准差作为铜矿石γ辐射剂量率有限样本代表值及标准差的稳健估计,并给出了估计值的偏移校准百分比置信区间参数为2.76Gy/h与经验百分比置信区间参数为2.616Gy/h。结论为进口铜矿石γ辐射剂量率代表值及置信区间的准确评估提供的新方法具有广泛的适应性。
Objective To investigate the typical value of gamma-radiation dose rate and its confidence interval in tank-transported copper ore by using bootstrap resampling techniques. Methods Bootstrap resampling method, coupled with kernel density estimation, introduced to acquire the typical value of gammaradiation dose rate in copper ore. Results The typical value of gamma-radiation dose rate in copper ore was expressed as the central tendency of the means of resampling, and two kinds of confidence interval, empirical percentile and bias-corrected accelerated confidence interval, were provided as standard error. Conclusion It is clearly demonstrated that this method has an advantage to give a robust description in explanation of central tendency and variation range of gamma-radiation dose rate data profiles.
出处
《中华放射医学与防护杂志》
CAS
CSCD
北大核心
2009年第1期96-99,共4页
Chinese Journal of Radiological Medicine and Protection
基金
国家质检总局重大科研项目(20081K265)
山东检验检疫科研项目基金资助(SK200836)志谢 中国原子能科学研究院夏益华提出指导建议
关键词
铜矿石
Γ辐射剂量率
代表值
置信区间
模拟取样估计
Copper ore
Gamma-radiation dose rate
Typical value
Confidence interval
Simulation resampling