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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Geodesyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Geodesy
Article . 1990 . Peer-reviewed
License: Springer Nature TDM
Data sources: Crossref
https://dx.doi.org/10.1007/bf0...
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On separability for deformations and gross errors

descriptionPublicationkeyboard_double_arrow_right Article 01 Dec 1990 English Publisher:Springer Science and Business Media LLCJournal:Journal of Geodesy, volume 64, pages 383-396 (issn: 0949-7714, eissn: 1432-1394, Copyright policy )
Authors: Zhao Shaorong;

doi: 10.1007/bf02538410

On separability for deformations and gross errors

Abstract

According to the testing theory with two alternative hypotheses, the theory of detectability for a deformation monitoring network has been extended to the theory of separability for deformations and gross errors. With this theory it can be evaluated whether deformations and gross errors can be statistically distinguished each other, which is very important for deformation analysis. General formulas are established and the separability between deformations and gross errors for some typical deformation models is investigated. An example of separating gross errors from deformations is given.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Top 10%
Average
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