Multivariate Weighted Total Least Squares Based on the Standard Least-Squares Theory-Reference-Cited by-同舟云学术

Multivariate Weighted Total Least Squares Based on the Standard Least-Squares Theory

Published:2023-11 Issue:4 Volume:149 Page:
ISSN:0733-9453
Container-title:Journal of Surveying Engineering
language:en
Short-container-title:J. Surv. Eng.

Author:

Gholinejad Saeid¹^ORCID,Amiri-Simkooei Alireza²^ORCID

Affiliation:

1. Postdoctoral Researcher, Dept. of Geomatics Engineering, Faculty of Civil Engineering and Transportation, Univ. of Isfahan, Isfahan 8174673441, Iran (corresponding author). ORCID: .

2. Assistant Professor, Dept. of Geoscience and Remote Sensing, Faculty of Civil Engineering and Geosciences, Delft Univ. of Technology, Delft 2628 CN, Netherlands. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JSUED2.SUENG-1424

Reference32 articles.

1. Total Least Squares Solution of Coordinate Transformation

2. Amiri-Simkooei A. 2007. “Least-squares variance component estimation: Theory and GPS applications.” Ph.D. thesis Dept. of Mathematical Geodesy and Positioning Delft Univ. of Technology.

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

4. Application of least squares variance component estimation to errors-in-variables models

5. Weighted Total Least Squares with Singular Covariance Matrices Subject to Weighted and Hard Constraints

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