Comparison of Posterior Precision Estimation Methods of Weighted Total Least-Squares Solution for Errors-in-Variables Model-Reference-Cited by-同舟云学术

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Comparison of Posterior Precision Estimation Methods of Weighted Total Least-Squares Solution for Errors-in-Variables Model

Published:2024-11 Issue:4 Volume:150 Page:
ISSN:0733-9453
Container-title:Journal of Surveying Engineering
language:en
Short-container-title:J. Surv. Eng.

Author:

Han Jie¹^ORCID,Zhang Songlin²,Dong Shimeng³^ORCID,Yan Qingyun⁴

Affiliation:

1. Lecturer, School of Remote Sensing and Geomatics Engineering, Nanjing Univ. of Information and Technology, Jiangsu 210044, China. ORCID: .

2. Professor, College of Surveying and Geomatic, Tongji Univ., Shanghai 200029, China (corresponding author).

3. Master’s Student, College of Surveying and Geomatic, Tongji Univ., Shanghai 200029, China. ORCID: .

4. Associate Professor, School of Remote Sensing and Geomatics Engineering, Nanjing Univ. of Information and Technology, Jiangsu 210044, China.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JSUED2.SUENG-1480

Reference53 articles.

1. Parameter estimation in 3D affine and similarity transformation: implementation of variance component estimation

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

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

4. Bias in Nonlinear Estimation

5. New second order approximation method for posterior precision evaluation of weighted total least squares estimates with analytical expression

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