开采沉陷预测参数的稳健统计分析

Robust Statistics Analysis of Mining Subsidence Prediction Parameters

由于观测及地质采矿条件等方面的原因，开采沉陷监测数据有时会有较多的异值，而目前这类数据处理方法所依据的准则基本均为最小二乘法，这样有可能致使结果精度低、可靠性差甚至出现错误。为此，根据我国实际，研究了开采沉陷预测参数的稳健统计分析问题，推导了有关公式，编制了计算程序，进行了大量的实际计算与模拟，收到了较好的成效。

Mining subsidence monitoring data sometimes contain guite a lot of cutliers because of the limit of the observation and the geological mining conditions,In our country,nowdays,the method of processing mining subsidence monitoring data is based on the principle of the least square method.It is possible to produce lower accuracy,less reliability,on errors.For reasons given above the authors according to China's actual situation have done some research work on the robust processing of mining subsidence monitoring data in respect of how to get prediction parameters.The authors have derived related formulas,designed some computational programmers and done a great quantity of actual calculation and simulation and have achieved good results.