摘要
利用最小二乘原理,推导出考虑样本容量和子样标准差的求解置信概率的函数,继而确定数据的置信区间,对数据进行筛选。对所筛余的数据,再进行平差计算,并进行精度评定。这是对传统经典平差数据筛选方法的一种补充,使得平差精度大为提高。算例分析说明了该方法的有效性和实用性,运用这种方法在冻土地区路基的变形监测网的实际平差运算中取得了良好的效果。
A new computational formula of fiducial probability in consideration of sample size and subsample standard deviation is derived from the least squares principle. Then the fiducial interval is confirmed for choosing data. The data which are picked out are calculated and the accuracy is assessed. The method of choosing data by free net adjustment makes adjustment accuracy improved greatly, so it is an addition to the method of data screening by traditional classical adjustment. The method has attained satisfying effect in practical adjustment operation of the subgrade displacement monitoring net in a workplace in the frozen ground zone. The example demonstrates the validity and feasibility of the method.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2008年第4期626-630,共5页
Journal of Hefei University of Technology：Natural Science
关键词
自由网平差
置信概率
置信区间
数据筛选
最小二乘原理
free net adjustment
fiducial probability
fiducial interval
data screening
least squares principle
