GPS position time-series analysis based on asymptotic normality of M-estimation

DOI10.1007/S00190-011-0489-4zbMath1351.86028OpenAlexW2158513598WikidataQ59293762 ScholiaQ59293762MaRDI QIDQ727438

M. A. Sharifi, A. R. Amiri-Simkooei, Amir Khodabandeh

Publication date: 6 December 2016

Published in: Journal of Geodesy (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00190-011-0489-4

zbMATH Keywords

asymptotic normalityM-estimationcomponent estimationcomponent estimation (LS-VCE)GPS coordinate time seriesleast squares variancerobust variance

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Geostatistics (86A32) Geodesy, mapping problems (86A30)

Uses Software

• robustbase
• bootstrap

Cites Work

• Unnamed Item
• Robust biased estimation and its applications in geodetic adjustments
• Robust estimation of geodetic datum transformation
• The effect of coloured noise on the uncertainties of rates estimated from geodetic time series
• Influence functionals for time series (with discussion)
• Strong representations for LAD estimators in linear models
• Gauss-Newton and M-estimation for ARMA processes with infinite variance
• A general Bahadur representation of \(M\)-estimators and its application to linear regression with nonstochastic designs
• Robust estimation of variance components
• Mathematical Statistics
• A Note on Quantiles in Large Samples
• Robust Estimation of Multivariate Covariance Components

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