Details

Title

Sensitivity of robust estimators applied in strategy for testing stability of reference points. EIF approach

Journal title

Advances in Geodesy and Geoinformation

Yearbook

2011

Volume

vol. 60

Issue

No 2

Authors

Keywords

displacement ; stability ; R-estimation ; empirical influence function

Divisions of PAS

Nauki Techniczne

Publisher

Commitee on Geodesy PAS

Date

2011

Type

Artykuły / Articles

Identifier

DOI: 10.2478/v10277-012-0011-z ; ISSN 2720-7242

Source

Geodesy and Cartography; 2011; vol. 60; No 2

References

Baarda W. (1968), A testing procedure for use in geodetic networks. ; Denli H. (2008), Stable Point Research on Deformation Networks, Survey Review, 40, 74, doi.org/10.1179/003962608X253501 ; Ding X. (1996), Multiple outlier detection by evaluating redundancy contributions of observations, Journal of Geodesy, 70, 489. ; Duchnowski R. (2008), R-estimation and its application to the LS adjustment, Bollettino di Geodesia e Scienze Affini, 67, 1, 17. ; Duchnowski R. (2009), Geodetic Application of R-estimation - Levelling Network Examples, Technical Sciences, 12, 135, doi.org/10.2478/v10022.008-0012-9 ; Duchnowski R. (2010), Median-based estimates and their application in controlling reference mark stability, Journal of Surveying Engineering, 136, 2, 47, doi.org/10.1061/(ASCE)SU.1943-5428.0000014 ; Duchnowski R. (2011), Robustness of strategy for testing levelling mark stability based on rank tests, Survey Review, 43, 687, doi.org/10.1179/003962611X13117748892551 ; Gui Q. (2007), A Bayesian approach to the detection of gross errors based on posterior probability, Journal of Geodesy, 81, 651, doi.org/10.1007/s00190-006-0132-y ; Gui Q. (2011), A Bayesian unmasking method for locating multiple gross errors based on posterior probabilities of classification variables, Journal of Geodesy, 85, 191, doi.org/10.1007/s00190-010-0429-8 ; Hampel F. (1986), Robust Statistics. The Approach Based on Influence Functions. ; Hekimoglu S. (2007), Effect of heteroscedasticity and heterogeneousness on outlier detection for geodetic networks, Journal of Geodesy, 81, 137, doi.org/10.1007/s00190-006-0095-z ; Hekimoglu S. (2010), Increasing the efficacy of the conventional deformation analysis methods: alternative strategy, Journal of Surveying Engineering, 136, 2, 53, doi.org/10.1061/(ASCE)SU.1943-5428.0000018 ; Huber P. (1981), Robust Statistics, doi.org/10.1002/0471725250 ; Prószyński W. (2006), Basis of geodetic calculations of displacements. Notions and methodology elements (in Polish). ; Prószynski W. (2010), Another approach to reliability measures for systems with correlated observations, Journal of Geodesy, 84, 547, doi.org/10.1007/s00190-010-0394-2 ; Rousseeuw P. (1993), Alternative to the Median Absolute Deviation, J. Am. Stat. Assoc, 88, 1273, doi.org/10.1080/01621459.1993.10476408 ; Rousseeuw P. (2002), Robust estimation in very small samples, Computation Statistics Data Analysis, 40, 4, 741, doi.org/10.1016/S0167-9473(02)00078-6 ; Shaorong Z. (1990), On separability for deformations and gross errors, Journal of Geodesy, 64, 383. ; Wiśniewski Z. (2009), Estimation of parameters in a split functional model of geodetic observations (M<sup>split</sup> estimation), Journal of Geodesy, 83, 105, doi.org/10.1007/s00190-008-0241-x ; Xu P. (2005), Sign-constrained robust least squares, subjective breakdown point and effect of weights of observations on robustness, Journal of Geodesy, 79, 146, doi.org/10.1007/s00190-005-0454-1
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