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稳健总体最小二乘Helmert方差分量估计

陶武勇 鲁铁定 许光煜 杨世安

大地测量与地球动力学2017,Vol.37Issue(11):1193-1197,5.
大地测量与地球动力学2017,Vol.37Issue(11):1193-1197,5.DOI:10.14075/j.jgg.2017.11.019

稳健总体最小二乘Helmert方差分量估计

Helmert Variance Component Estimation for Robust Total Least Squares

陶武勇 1鲁铁定 2许光煜 3杨世安1

作者信息

  • 1. 江西信息应用职业技术学院测绘工程系,南昌市气象路58号,330043
  • 2. 东华理工大学测绘工程学院,南昌市广兰大道418号,330013
  • 3. 武汉大学测绘学院,武汉市珞喻路129号,430079
  • 折叠

摘要

Abstract

As for total least squares,it is also common to process different precise of data or different types of data.The weights determined by prior variance are not accurate.And at the same time the condition that there are gross errors in observation data is taken into consideration.For these two problem,the variance component estimation for robust total least squares is proposed.The robust estimation and the Helmert variance component estimation are applied into total least squares.At last,two experiment are carried out to testify.The result of calculation demonstrate that the method proposed in the paper is feasible and effective.

关键词

总体最小二乘/方差分量估计/粗差/等价权

Key words

total least squares/variance component estimation/gross error/equivalent weights

分类

天文与地球科学

引用本文复制引用

陶武勇,鲁铁定,许光煜,杨世安..稳健总体最小二乘Helmert方差分量估计[J].大地测量与地球动力学,2017,37(11):1193-1197,5.

基金项目

National Natural Science Foundation of China,No.41204003,41374007,41464001 ()

Public Benefit Research Foundation of NASMG,No.201512026 ()

Science and Technology Project of the Education Department of Jiangxi Province,No.KJLD12077,GJJ13457 ()

China Postdoctoral Science Foundation,No.2012M511962 ()

Visiting Scholar Project of Faculty Development of Jiangxi Province,No.2012132 ()

Voyage Project of Jiangxi Province,No.2013.国家自然科学基金(41204003,41374007,41464001) (41204003,41374007,41464001)

测绘地理信息公益性行业科技专项(201512026) (201512026)

江西省教育厅科技项目(KJLD12077,GJJ13457) (KJLD12077,GJJ13457)

中国博士后基金(2012M511962) (2012M511962)

江西省中青年教师发展计划访问学者专项(2012132) (2012132)

江西省远航工程计划(2013). (2013)

大地测量与地球动力学

OA北大核心CSCDCSTPCD

1671-5942

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