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Original Articles

Jackknife resample method for precision estimation of weighted total least squares

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Pages 1272-1289 | Received 24 Jun 2018, Accepted 04 Feb 2019, Published online: 13 Apr 2019

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Read on this site (2)

Shimeng Dong, Songlin Zhang & Jie Han. (2023) New second order approximation method for posterior precision evaluation of weighted total least squares estimates with analytical expression. Communications in Statistics - Simulation and Computation 0:0, pages 1-19.
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Leyang Wang, Yingwen Zhao, Chuanyi Zou & Fengbin Yu. (2023) Sterling interpolation method for precision estimation of total least squares. Communications in Statistics - Simulation and Computation 52:1, pages 142-160.
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Articles from other publishers (7)

Vinicius Francisco Rofatto, Maria Luísa Silva Bonimani, Marcelo Tomio MatsuokaIvandro Klein & Caio Cesar de Campos. (2023) Resampling Methods in Neural Networks: From Point to Interval Application to Coordinate Transformation. Journal of Surveying Engineering 149:1.
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Leyang Wang & Xinlei Luo. (2023) Adaptive Two-Stage Monte Carlo Algorithm for Accuracy Estimation of Total Least Squares. Journal of Surveying Engineering 149:1.
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Yang Zhang, Yanjun Zhou, Hehua Li, Hao Hao, Weijiong Chen & Weiwei Zhan. (2022) The Navigation System of a Logistics Inspection Robot Based on Multi-Sensor Fusion in a Complex Storage Environment. Sensors 22:20, pages 7794.
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Chuanyi Zou, Hao Ding & Leyang Wang. (2022) A SCR method for uncertainty estimation in geodesy non-linear error propagation: Comparisons and applications. Geodesy and Geodynamics 13:4, pages 311-320.
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Rostyslav Maiboroda, Vitalii Miroshnychenko & Olena Sugakova. (2022) Jackknife for nonlinear estimating equations. Modern Stochastics: Theory and Applications, pages 377-399.
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Leyang Wang & Xinlei Luo. (2021) Adaptive Quasi-Monte Carlo method for nonlinear function error propagation and its application in geodetic measurement. Measurement 186, pages 110122.
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Ismail Shah, Faiza Sajid, Sajid Ali, Amjad Rehman, Saeed Ali Bahaj & Suliman Mohamed Fati. (2021) On the Performance of Jackknife Based Estimators for Ridge Regression. IEEE Access 9, pages 68044-68053.
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