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| 部分最小二乘平差方法及在粗差定值与定位中的应用 | |
| 引用本文： | 王爱生,欧吉坤. 部分最小二乘平差方法及在粗差定值与定位中的应用[J]. 测绘科学, 2005, 30(2): 70-72 |
| 作者姓名： | 王爱生 欧吉坤 |
| 作者单位： | 中国科学院测量与地球物理研究所,武汉,430077;徐州师范大学国土信息与测绘工程系,徐州,221000;中国科学院测量与地球物理研究所,武汉,430077 |
| 摘 要： | 部分最小二乘平差是把观测值按照是否含有粗差分成两组 ,对不含粗差的那一组实施最小二乘平差。本文推导了在相关观测条件下的最小二乘原理 ,对这种平差方法的一些估计量的统计性质进行了简单分析 ,结果表明 ,这种方法能够用于粗差估算。本文还详细叙述了用这种方法进行粗差的定值定位的过程 ,即首先根据单位权中误差进行分组 ,然后实施部分最小二乘平差 ,估算粗差的大小。算例表明这种方法的有效性 |
| 关 键 词： | 相关观测 部分最小二乘 粗差 定位 定值 |
| 文章编号： | 1009-2307(2005)02-0070-03 |
| 修稿时间： | 2004-07-05 |
Method of partly least squares and application in gross error location and estimation |
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| WANG Ai-sheng,OU Ji-kun. Method of partly least squares and application in gross error location and estimation[J]. Science of Surveying and Mapping, 2005, 30(2): 70-72 | |
| Authors: | WANG Ai-sheng OU Ji-kun |
| Abstract: | The principle of the adjustment based on least squares sum of partly residuals was derived in this paper.Some statistic character of it's estimates were analyzed,the conclusion that this method can be used in detecting gross error was resulted.The processing of gross error location and evaluation was described in detail.A series of indexes indicate its feasibility. |
| Keywords: | correlative observer partly least squares gross error location estimation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |