The TSCR method for precision estimation of ill-posed mixed additive and multiplicative random error model-Reference-Cited by-同舟云学术

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The TSCR method for precision estimation of ill-posed mixed additive and multiplicative random error model

Published:2022-12-22 Issue: Volume: Page:1-15
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Wang Leyang¹²^ORCID,Chen Tao¹³,Zou Chuanyi³

Affiliation:

1. Faculty of Geomatics, East China University of Technology, Nanchang, China

2. Key Laboratory of Mine Environmental Monitoring and Improving Around Poyang Lake, Ministry of Natural Resources, Nanchang, China

3. Department of Geophysics, School of Geodesy and Geomatics, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Innovation Found Designated for Graduate Students of ECUT

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2022.2154801

Reference42 articles.

1. Cubature Kalman Filters

2. Cubature Kalman smoothers

3. Cubature Kalman Filtering for Continuous-Discrete Systems: Theory and Simulations

4. Bias in Nonlinear Estimation

5. The A-optimal regularization parameter in uniform Tykhonov-Phillips regularization — α-weighted BLE-

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