MINQUE Method Variance Component Estimation for the Mixed Additive and Multiplicative Random Error Model-Reference-Cited by-同舟云学术

MINQUE Method Variance Component Estimation for the Mixed Additive and Multiplicative Random Error Model

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:

Wang Leyang¹^ORCID,Xiao Hao²

Affiliation:

1. Professor, Faculty of Geomatics, East China Univ. of Technology, Nanchang 330013, People’s Republic of China; Professor, Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake, Ministry of Natural Resources, Nanchang 330013, People’s Republic of China (corresponding author). ORCID: .

2. Master’s Candidate, Faculty of Geomatics, East China Univ. of Technology, Nanchang 330013, People’s Republic of China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JSUED2.SUENG-1396

Reference32 articles.

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

3. Chen, Y. 2017. Outlier detection on random model for multiplicative error. [In Chinese.] Xi’an, China: Xi’an Univ. of Science and Technology.

4. Cui, X., Z. Yu, B. Tao, and D. Liu. 2005. Generalized surveying adjustment. [In Chinese.] Wuhan, China: Wuhan University Press.

5. Numerical modeling of LiDAR-based geological model for landslide analysis

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