一种识别及处理特高品位值的新方法

通过对目前特高品位值识别及处理方式进行综合分析评价,提出一种新的特高品位值识别及处理方式。新方法采用3σ准则判断特高品位值及特高品位值个数。产生一组数据为样本数据,要求这组数据符合样品统计分布规律。将样品和随机数都由大到小排序,用相应序列的随机数代替特高品位值。在实例分析时,新方法处理之后其品位分布特征的峰度、偏度均大幅度下降,并且品位均值和标准差均无较大变化。对比应用品位变化系数法处理的结果,在峰度和偏度下降相当时,平均品位值更加接近原始数据平均品位值,说明新方法处理结果更为合理。

A NEW METHOD OF RECOGNITION AND PROCESSING EXTRA-HIGH-GRADE VALUE

Through the comprehensive evaluation of current identification and treatment methods of Extra-High-Grade value, a new approach has been proposed. The new method adopts the criterion to recognize the extra-high-grade value and the quantity of extra-high-grade values. The samples and random numbers are sorted in descending order, and use the corresponding random numbers to substitute the super-extra-high value. In the case analysis, after dealing with the new method, the kurtosis of grade distribution and slant degrees are dropped substantially, while he mean and standard deviation of the grade are of no major changes. Compared to the result of processing by grade changing coefficient method, when the kurtosis and partial degrees drop the same value, the processing result of new method is closer to the original data, which means that the new method processing result is more reasonable.