基于中位数法的抗差总体最小二乘估计

针对现有总体最小二乘抗差算法存在的缺陷,应用中位数法确定模型参数的初值,提出了对模型的观测向量与系数矩阵中的观测元素进行分类定权的思想,避免了中误差估计偏差与随机模型误差对等价权函数抗差性的影响。基于中位数法建立总体最小二乘抗差迭代算法,并结合算例对算法进行验证。结果表明,在相同观测样本条件下,本文提出的算法拟合的精度高于传统算法拟合的精度。...

Full description

Saved in:
Bibliographic Details
Published inCe hui xue bao Vol. 45; no. 3; pp. 297 - 301
Main Author 陶叶青 高井祥 姚一飞
Format Journal Article
LanguageChinese
English
Published Beijing Surveying and Mapping Press 01.03.2016
淮海工学院测绘工程学院,江苏 连云港,222005%中国矿业大学环境与测绘学院,江苏 徐州,221008
Subjects
Online AccessGet full text
ISSN1001-1595
1001-1595
DOI10.11947/j.AGCS.2016.20150234

Cover

Abstract 针对现有总体最小二乘抗差算法存在的缺陷,应用中位数法确定模型参数的初值,提出了对模型的观测向量与系数矩阵中的观测元素进行分类定权的思想,避免了中误差估计偏差与随机模型误差对等价权函数抗差性的影响。基于中位数法建立总体最小二乘抗差迭代算法,并结合算例对算法进行验证。结果表明,在相同观测样本条件下,本文提出的算法拟合的精度高于传统算法拟合的精度。
AbstractList P207; 针对现有总体最小二乘抗差算法存在的缺陷,应用中位数法确定模型参数的初值,提出了对模型的观测向量与系数矩阵中的观测元素进行分类定权的思想,避免了中误差估计偏差与随机模型误差对等价权函数抗差性的影响.基于中位数法建立总体最小二乘抗差迭代算法,并结合算例对算法进行验证.结果表明,在相同观测样本条件下,本文提出的算法拟合的精度高于传统算法拟合的精度.
针对现有总体最小二乘抗差算法存在的缺陷,应用中位数法确定模型参数的初值,提出了对模型的观测向量与系数矩阵中的观测元素进行分类定权的思想,避免了中误差估计偏差与随机模型误差对等价权函数抗差性的影响。基于中位数法建立总体最小二乘抗差迭代算法,并结合算例对算法进行验证。结果表明,在相同观测样本条件下,本文提出的算法拟合的精度高于传统算法拟合的精度。
Abstract_FL Because the present algorithms of totalleast squares for robust estimation have disadvantages, solution for computation primary model parameters based on median method is proposed.And to get over the influence that estimation error of random model and error of mean square has,computation weight matrix of observation vector and coefficient matrix separately are proposed.Iterative algorithm of robust total least squares is establ ished based on median method,and to prove the proposed solution to be feasible,an instance is cited.The numerical results of the instance clearly demonstrate that the presented solution is more accurate than the traditional method for line fitting.
Author 陶叶青 高井祥 姚一飞
AuthorAffiliation 淮海工学院测绘工程学院,江苏连云港222005 中国矿业大学环境与测绘学院,江苏徐州221008
AuthorAffiliation_xml – name: 淮海工学院测绘工程学院,江苏 连云港,222005%中国矿业大学环境与测绘学院,江苏 徐州,221008
Author_FL YAO Yifei
GAO Jingxiang
TAO Yeqing
Author_FL_xml – sequence: 1
  fullname: TAO Yeqing
– sequence: 2
  fullname: GAO Jingxiang
– sequence: 3
  fullname: YAO Yifei
Author_xml – sequence: 1
  fullname: 陶叶青 高井祥 姚一飞
BookMark eNpNj7tKA0EUhgeJYIx5BBvFcuOcue1sGYJGIWBh-jC72ckF3U12DWqXwkq8FBIUEcQHMAQs1GjeZrL6GG6IoKc4_yk-vp-zjDJBGPgIrQIuADjM3mwXiuXSfoFgELPFMaFsAWUBY7CAOzzz715C-ThuuRhzRm1OnSyi08exGV-Zt2czuUwGo-Rl8HV_lpzfTl-HSf_DTG6Sh_50dG3GF-b9znyOvodPK2hRq4PYz_9mDlW3t6qlHauyV94tFSuWJ7m0lJC87gKlpM48JVywGSEuq0M6TNvC8QgoRjyggvlYac2Ycm0uhdYchCY0hzbm2mMVaBU0au2wFwVpYc1rnrizfzHFWKbc-pzrRGG358dHfyDhkjoOlmRmW5tTXjMMGt1W6utErUMVndaEkAwYEEl_AIqScrE
ClassificationCodes P207
ContentType Journal Article
Copyright Mar 2016. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
Copyright_xml – notice: Mar 2016. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
DBID 2RA
92L
CQIGP
W94
~WA
3V.
7X2
8FE
8FH
8FK
ABUWG
AEUYN
AFKRA
ATCPS
AZQEC
BBNVY
BENPR
BHPHI
BKSAR
CCPQU
DWQXO
GNUQQ
HCIFZ
LK8
M0K
M7P
PATMY
PCBAR
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PYCSY
2B.
4A8
92I
93N
PSX
TCJ
DOI 10.11947/j.AGCS.2016.20150234
DatabaseName 维普期刊资源整合服务平台
中文科技期刊数据库-CALIS站点
维普中文期刊数据库
中文科技期刊数据库-自然科学
中文科技期刊数据库- 镜像站点
ProQuest Central (Corporate)
Agricultural Science Collection
ProQuest SciTech Collection
ProQuest Natural Science Journals
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest One Sustainability
ProQuest Central
Agricultural & Environmental Science Collection
ProQuest Central Essentials
Biological Science Collection
ProQuest Central
Natural Science Collection
Earth, Atmospheric & Aquatic Science Collection
ProQuest One
ProQuest Central Korea
ProQuest Central Student
SciTech Premium Collection
Biological Sciences
Agriculture Science Database
Biological Science Database
Environmental Science Database
Earth, Atmospheric & Aquatic Science Database
ProQuest Central Premium
ProQuest One Academic (New)
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
Environmental Science Collection
Wanfang Data Journals - Hong Kong
WANFANG Data Centre
Wanfang Data Journals
万方数据期刊 - 香港版
China Online Journals (COJ)
China Online Journals (COJ)
DatabaseTitle Agricultural Science Database
Publicly Available Content Database
ProQuest Central Student
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Natural Science Collection
ProQuest Central China
Earth, Atmospheric & Aquatic Science Collection
ProQuest Central
ProQuest One Applied & Life Sciences
ProQuest One Sustainability
Natural Science Collection
ProQuest Central Korea
Agricultural & Environmental Science Collection
Biological Science Collection
ProQuest Central (New)
ProQuest Biological Science Collection
ProQuest One Academic Eastern Edition
Earth, Atmospheric & Aquatic Science Database
Agricultural Science Collection
Biological Science Database
ProQuest SciTech Collection
Environmental Science Collection
ProQuest One Academic UKI Edition
Environmental Science Database
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
DatabaseTitleList

Database_xml – sequence: 1
  dbid: BENPR
  name: ProQuest Central
  url: http://www.proquest.com/pqcentral?accountid=15518
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Astronomy & Astrophysics
DocumentTitleAlternate Solution for Robust Total Least Squares Estimation Based on Median Method
DocumentTitle_FL Solution for Robust Total Least Squares Estimation Based on Median Method
EISSN 1001-1595
EndPage 301
ExternalDocumentID chxb201603008
668414128
GrantInformation_xml – fundername: The NationalNaturalScience Foundation of China; Publ ic Science and Technology Research Funds Projects of Ocean; Science Foundation of Huaihai Institute of Technology (No.Z2015006) 国家自然科学基金; 国家海洋公益专项; 淮海工学院科研基金
  funderid: (41074010); (201105004); (41074010); (201105004); (Z2015006)
GroupedDBID -01
2B.
2C.
2RA
5VS
5XA
5XB
7X2
92E
92I
92L
ACGFS
AFKRA
ALMA_UNASSIGNED_HOLDINGS
ATCPS
BBNVY
BENPR
BHPHI
BKSAR
CCEZO
CCPQU
CCVFK
CQIGP
CW9
GROUPED_DOAJ
HCIFZ
IPNFZ
M0K
M7P
OK1
P2P
PATMY
PCBAR
PIMPY
PYCSY
RIG
TCJ
TGP
U1G
U5K
W94
~WA
3V.
8FE
8FH
8FK
ABJNI
ABUWG
AEUYN
AZQEC
DWQXO
GNUQQ
LK8
PHGZM
PHGZT
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
4A8
93N
PMFND
PSX
ID FETCH-LOGICAL-c858-a685db1332d4ca6b17422b4d11114f769c21a42c1364e0aff44ab7586ff516f23
IEDL.DBID BENPR
ISSN 1001-1595
IngestDate Thu May 29 04:11:07 EDT 2025
Sun Jul 13 03:51:19 EDT 2025
Wed Feb 14 10:19:45 EST 2024
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed false
IsScholarly true
Issue 3
Keywords 总体最小二乘
抗差估计
totalleast squares
robust estimation
median method
中位数
Language Chinese
English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c858-a685db1332d4ca6b17422b4d11114f769c21a42c1364e0aff44ab7586ff516f23
Notes total least squares; robust estimation; median method
11-2089/P
Because the present algorithms of total least squares for robust estimation have disadvantages,solution for computation primary model parameters based on median method is proposed.And to get over the influence that estimation error of random model and error of mean square has,computation weight matrix of observation vector and coefficient matrix separately are proposed.Iterative algorithm of robust total least squares is established based on median method,and to prove the proposed solution to be feasible,an instance is cited.The numerical results of the instance clearly demonstrate that the presented solution is more accurate than the traditional method for line fitting.
TAO Yeqing ,GAO Jingxiang ,YAO Yifei( 1. Department of Geomatic Engineering, Huaihai Institute of Technology, Lianyungang 222005, China~ 2. School of Environment Science and Spatial Informatics, China University of Mining & Technology, Xuzhou 221008, China)
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
OpenAccessLink https://www.proquest.com/docview/2583990822?pq-origsite=%requestingapplication%&accountid=15518
PQID 2583990822
PQPubID 5229093
PageCount 5
ParticipantIDs wanfang_journals_chxb201603008
proquest_journals_2583990822
chongqing_primary_668414128
PublicationCentury 2000
PublicationDate 20160301
PublicationDateYYYYMMDD 2016-03-01
PublicationDate_xml – month: 03
  year: 2016
  text: 20160301
  day: 01
PublicationDecade 2010
PublicationPlace Beijing
PublicationPlace_xml – name: Beijing
PublicationTitle Ce hui xue bao
PublicationTitleAlternate Acta Geodaetica et Cartographica Sinica
PublicationTitle_FL Acta Geodaetica et Cartographica Sinica
PublicationYear 2016
Publisher Surveying and Mapping Press
淮海工学院测绘工程学院,江苏 连云港,222005%中国矿业大学环境与测绘学院,江苏 徐州,221008
Publisher_xml – name: Surveying and Mapping Press
– name: 淮海工学院测绘工程学院,江苏 连云港,222005%中国矿业大学环境与测绘学院,江苏 徐州,221008
SSID ssib005437539
ssib038074662
ssib051373695
ssib002263888
ssib000862384
ssj0058465
Score 2.1028295
Snippet 针对现有总体最小二乘抗差算法存在的缺陷,应用中位数法确定模型参数的初值,提出了对模型的观测向量与系数矩阵中的观测元素进行分类定权的思想,避免了中误差估计偏差与随机...
P207; 针对现有总体最小二乘抗差算法存在的缺陷,应用中位数法确定模型参数的初值,提出了对模型的观测向量与系数矩阵中的观测元素进行分类定权的思想,避免了中误差估计偏差...
SourceID wanfang
proquest
chongqing
SourceType Aggregation Database
Publisher
StartPage 297
SubjectTerms Algorithms
Computation
Iterative algorithms
Iterative methods
Least squares
Robustness (mathematics)
中位数
总体最小二乘
抗差估计
Title 基于中位数法的抗差总体最小二乘估计
URI http://lib.cqvip.com/qk/90069X/201603/668414128.html
https://www.proquest.com/docview/2583990822
https://d.wanfangdata.com.cn/periodical/chxb201603008
Volume 45
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAFT
  databaseName: Colorado Digital library
  customDbUrl:
  eissn: 1001-1595
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssib005437539
  issn: 1001-1595
  databaseCode: KQ8
  dateStart: 20120101
  isFulltext: true
  titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html
  providerName: Colorado Alliance of Research Libraries
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl: http://www.proquest.com/pqcentral?accountid=15518
  eissn: 1001-1595
  dateEnd: 20221231
  omitProxy: true
  ssIdentifier: ssj0058465
  issn: 1001-1595
  databaseCode: BENPR
  dateStart: 20100201
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwY2BQSUtMM0tLTUnRBZYDFromJsbmuommqZa6qabgs_CSzY3SQBucff3MPEJNvCJMI5gY_GB7YUDLKmFlIrigTslPBo2R6xuZAqty0P3cRvYFhbqgW6NAs6uwKzQSoVcrpNiCjxhjZmA1Ap2MxcLA6uTqFxAEK5tBta0peP4T2IkGVuSm0D09wJ68uX6WnqO7czBotRdo6QKwoWQEuk2ZE1gK5aUXAusRlDYoe3liXlpiXjpSZeQmyMAPbUUqOEKiXYiBKTVPmEHCsRg0rp2fW6mgpgBmQ4YtikUYjJ_O3_VkV9-THWuf7O19NnXDs81Tn89qedY1_en2dc8adj_ZO_nZnIanG_qf7Op5snPGkz0bXqxbKMoQ4uYa4uyhC70uQTfZwtRCN9HMwjQlCdjlNEoxSU40SwJ2NYyMkkxSQGWiSZq5mWWykWGiiVGyobGZSapBYlqaiUliErC3YJaWZmpolmZkLMbAkpeflyrBoGCRZGmaBLrJKs3UEmiIZVJSkgmwI5YMpFKALTITSQZpeKjEF0BOxYg3M7MAKgJWd5IMMrBwiodmiOJ4RPRJMshBww4hm5xRkWQEvvEa2CSRwq9fmoELpBSyDkyGgaWkqDRVFtgwKEmSg8a2HAOzd6AFAEEtx88
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwY2BQSUtMM0tLTUnRBZYDFromJsbmuommqZa6qabgs_CSzY3SQBucff3MPEJNvCJMI5gY9sL2woCWVcLKRHBBnZKfDBoj1zcyBVbloPu5jewLCnVBt0aBZldhV2gkQq9WSLEFHzEG3djhnVpZDuzCFdt6ugDjW9XIyM01xNlDF3rLgG6yhamFbqKZhWlKErCnZpRikpxolgRsoRsZJZmkgIoSkzRzM8tkI8NEE6NkQ2Mzk1SDxLQ0E5PEJGAj2ywtzdTQLA107gGwBmA1AfoM2PdjdXL1CwiCVQWgyt0UPN0K7LMD2w2m0C1EhpYm5vpZeo7uzsGgxWWglRLAdpkR6PJmTmChl5deCKy2UJq87OWJeWmJeelIdZ-bIAM_tNGq4AhJZUIMTKl5wgwSjsWgYfT83EoFNQUwGzJKUizCYPx0_q4nu_qe7Fj7ZG_vs6kbnm2e-nxWy7Ou6U-3r3vWsPvJ3snP5jQ83dD_ZFfPk50znuzZ8GLdQlGGEFqEmxgDS15-XqoEg4JFkqVpEujirDRTS6AhlklJSSbAfl8ykEoBNgBNJBmk4aESXwA5hCPezMwCqAhYu0oyyMDCKR6a_4rjEalFkkEOGnYI2eSMiiQj8AXbwBaQFH798gycHiG-PvE-nn7e0gxcIG2QJWgyDCwlRaWpssA2SUmSHDTmFRjiaZzWAG7NAdk
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E5%9F%BA%E4%BA%8E%E4%B8%AD%E4%BD%8D%E6%95%B0%E6%B3%95%E7%9A%84%E6%8A%97%E5%B7%AE%E6%80%BB%E4%BD%93%E6%9C%80%E5%B0%8F%E4%BA%8C%E4%B9%98%E4%BC%B0%E8%AE%A1&rft.jtitle=Ce+hui+xue+bao&rft.au=%E9%99%B6%E5%8F%B6%E9%9D%92&rft.au=%E9%AB%98%E4%BA%95%E7%A5%A5&rft.au=%E5%A7%9A%E4%B8%80%E9%A3%9E&rft.date=2016-03-01&rft.pub=Surveying+and+Mapping+Press&rft.issn=1001-1595&rft.eissn=1001-1595&rft.volume=45&rft.issue=3&rft.spage=297&rft_id=info:doi/10.11947%2Fj.AGCS.2016.20150234
thumbnail_s http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fimage.cqvip.com%2Fvip1000%2Fqk%2F90069X%2F90069X.jpg
http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fchxb%2Fchxb.jpg