稳健统计方法在老采空区沉降数据处理中的应用  

Application of Robust Estimator Method in Goaf Subsidence Data Processing

作　　者：郝刚[1] 于启升[1] 

机构地区：[1]中国矿业大学环境与测绘学院

出　　处：《现代矿业》2010年第2期76-78,共3页Modern Mining

摘　　要：老采空区地基沉降和变形监测是沉降研究的可靠方法。基于监测数据进行沉降规律的分析和预测预报,指出了应用最普遍的统计方法即最小二乘回归分析方法存在的问题,应用稳健估计对含有粗差的沉陷数据进行了回归分析,得到了比较好的结果。God groundwork subsidence and deformation monitoring is an inerrable method. The basic way basiced on monitor data in subsidence law analysis and predict forecast is statistics analysis. The most popular statistics method is least square regression analysis. The statistics data errors about least square regression analysis must conform to normal distriBution. Therefore this paper regression analysis the subsidence data which include gross error with the robust estimator and get good results.

关 键 词：老采空区 沉降变形 回归分析 稳健估计 

分 类 号：TD325.4[矿业工程—矿井建设]