Closure to “New First-Order Approximate Precision Estimation Method for Parameters in an Errors-in-Variables Model” by Jie Han, Songlin Zhang, and Jingchang Li-Reference-Cited by-同舟云学术

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Closure to “New First-Order Approximate Precision Estimation Method for Parameters in an Errors-in-Variables Model” by Jie Han, Songlin Zhang, and Jingchang Li

Published:2022-05 Issue:2 Volume:148 Page:
ISSN:0733-9453
Container-title:Journal of Surveying Engineering
language:en
Short-container-title:J. Surv. Eng.

Author:

Han Jie¹^ORCID,Zhang Songlin²,Li Jingchang³

Affiliation:

1. Ph.D. Student, College of Surveying and Geo-Infomatics, Tongji Univ., Shanghai 20092, China. ORCID: .

2. Professor, College of Surveying and Geo-Infomatics, Tongji Univ., Shanghai 20092, China (corresponding author).

3. Master’s Student, College of Surveying and Geo-Infomatics, Tongji Univ., Shanghai 20092, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29SU.1943-5428.0000384

Reference16 articles.

1. Weighted total least squares formulated by standard least squares theory

2. On the Covariance Matrix of Weighted Total Least-Squares Estimates

3. Fang X. 2011. “Weighted total least squares solution for applications in geodesy.” Ph.D. dissertation Dept. of Geodesy and Geoinformatics Leibniz Univ. Hanover.

4. A general partial errors-in-variables model and a corresponding weighted total least-squares algorithm;Han J.;Surv. Rev.,2018

5. Iterative algorithm for weighted total least squares adjustment

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