摘要
本研究阐述了灰色误差理论在地矿测试数据处理过程中的实际应用。在矿物的化学分析过程中,数据的累积曲线对于误差的小变化范围具有线性关系。其数据测量的累积曲线呈现曲线关系。然而传统统计标准偏差是与灰色标准偏差十分接近的,利用这种方法能够获取较高精度和实用性。
This study expounds the practical application of grey error theory in data processing of geological and mineral testing. In chemical analysis of minerals, the cumulative curve of data has a linear relationship with the small range of errors.The cumulative curve measured by the data shows a curve relationship. However, the traditional statistical standard deviation is very close to the grey standard deviation, and this method can obtain higher accuracy and practicability.
作者
王玲月
WANG Ling-yue(Central Laboratory of Yunnan Bureau of Geological and Mineral Exploration and Development,Kunming 650217,China)
出处
《世界有色金属》
2019年第11期224-225,共2页
World Nonferrous Metals
关键词
灰色误差理论
地矿测试
数据处理
Grey Error Theory
Geological and Mineral Testing
Data Processing