An iteratively reweighted least-squares approach to adaptive robust adjustment of parameters in linear regression models with autoregressive and t-distributed deviations

Author:

Kargoll BorisORCID,Omidalizarandi Mohammad,Loth Ina,Paffenholz Jens-André,Alkhatib Hamza

Publisher

Springer Science and Business Media LLC

Subject

Computers in Earth Sciences,Geochemistry and Petrology,Geophysics

Reference118 articles.

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2. Alkhatib H, Schuh WD (2007) Integration of the Monte Carlo covariance estimation strategy into tailored solution procedures for large-scale least squares problems. J Geod 81(1):53–66. doi: 10.1007/s00190-006-0034-z

3. Alkhatib H, Kargoll B, Neumann I, Kreinovich V (2017) Normalization-invariant fuzzy logic operations explain empirical success of student distributions in describing measurement uncertainty. Technical Report UTEP-CS-17-55, Department of Computer Science, The University of Texas at El Paso. To appear in: proceedings of the 2017 annual conference of the North American fuzzy information processing society NAFIPS’2017, Cancun, Mexico, 16–18 Oct 2017

4. Amiri-Simkooei AR, Tiberius CCJM, Teunissen PJG (2007) Assessment of noise in GPS coordinate time series: methodology and results. J Geophys Res. doi: 10.1029/2006JB004913

5. Arato M (1961) On the sufficient statistics for stationary Gaussian random processes. Theor Prob Appl 6(2):199–201

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