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Survey Review Volume 48, 2016 - Issue 349
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Original Articles

Weighted total least squares applied to mixed observation model

A. R. Amiri-SimkooeiDepartment of Geomatics Engineering, Faculty of Engineering, University of Isfahan, Hezar-Jarib Avenue, Isfahan81746-73441, IranCorrespondence[email protected]
,
S. MortazaviDepartment of Geomatics Engineering, Faculty of Engineering, University of Isfahan, Hezar-Jarib Avenue, Isfahan81746-73441, Iran
&
J. AsgariDepartment of Geomatics Engineering, Faculty of Engineering, University of Isfahan, Hezar-Jarib Avenue, Isfahan81746-73441, Iran
Pages 278-286 | Received 31 Jan 2015, Accepted 14 Apr 2015, Published online: 14 Apr 2016

Citations (14)

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Read on this site (4)

Sida Li, Lintao Liu, Zhiping Liu & Guocheng Wang. (2020) A robust total Kalman filter algorithm with numerical evaluation. Survey Review 52:373, pages 309-316.
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Leyang Wang & Hang Yu. (2019) Weighted total least-squares joint adjustment with weight correction factors. Communications in Statistics - Simulation and Computation 48:9, pages 2689-2707.
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W. Zeng, X. Fang, Y. Lin, X. Huang & Y. Yao. (2019) On the errors-in-variables model with inequality constraints of dependent variables for geodetic transformation. Survey Review 51:365, pages 166-171.
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D. Mihajlović & Ž. Cvijetinović. (2017) Weighted coordinate transformation formulated by standard least-squares theory. Survey Review 49:356, pages 328-345.
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Articles from other publishers (10)

Saeid Gholinejad & Alireza Amiri-Simkooei. (2023) Multivariate Weighted Total Least Squares Based on the Standard Least-Squares Theory. Journal of Surveying Engineering 149:4.
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M. Kiani Shahvandi & Benedikt Soja. (2022) Inclusion of data uncertainty in machine learning and its application in geodetic data science, with case studies for the prediction of Earth orientation parameters and GNSS station coordinate time series. Advances in Space Research 70:3, pages 563-575.
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M. M. Kariminejad, M. A. Sharifi & A. R. Amiri-Simkooei. (2021) Tikhonov-regularized weighted total least squares formulation with applications to geodetic problems. Acta Geodaetica et Geophysica 57:1, pages 23-42.
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Jie HanSonglin ZhangJingchang Li. (2022) Erratum for “New First-Order Approximate Precision Estimation Method for Parameters in an Errors-in-Variables Model” by Jie Han, Songlin Zhang, and Jingchang Li. Journal of Surveying Engineering 148:1.
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Hangbin WuHan Yue, Jie HanSonglin Zhang. (2021) Indoor Map Boundary Correction Based on Normalized Total Least Squares of Condition Equation. Journal of Surveying Engineering 147:4.
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Jie Han, Songlin ZhangJingchang Li. (2021) New First-Order Approximate Precision Estimation Method for Parameters in an Errors-in-Variables Model. Journal of Surveying Engineering 147:1.
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A. R. Amiri-Simkooei. (2019) Unified Least-Squares Formulation of a Linear Model with Hard Constraints. Journal of Surveying Engineering 145:4.
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A. R. Amiri-Simkooei. (2018) Weighted Total Least Squares with Constraints: Alternative Derivation without Using Lagrange Multipliers. Journal of Surveying Engineering 144:2.
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A. R. Amiri-Simkooei. (2017) Weighted Total Least Squares with Singular Covariance Matrices Subject to Weighted and Hard Constraints. Journal of Surveying Engineering 143:4.
Crossref
Cuiping Guo, Junhuan Peng & Chuantao Li. (2017) Robust estimators in mixed errors-in-variables models. Robust estimators in mixed errors-in-variables models.

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