2008
DOI: 10.1080/02533839.2008.9671360
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Statistical tests for discerning differences of robustness of horizontal geodetic networks due to different approaches

Abstract: In addition to Vanicek's original approach to network robustness, Tao's approach is introduced. Two sets of three deformation measures at each point of the network are then created due to the two approaches. To differentiate one approach from the other, three statistical tests are proposed: (1). Displacement tests examine the network as a whole: to what extent are the displacement vectors due to the two approaches different? These are referred to as global tests of the network's robustness between approaches. … Show more

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Cited by 3 publications
(3 citation statements)
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“…However, controllability and external reliability values of mentioned observations get weak. In other words, the good sensitivity level does not guarantee the appropriate reliability distribution in every time [2]. This situation is an important design matter.…”
Section: Optimization Strategymentioning
confidence: 99%
“…However, controllability and external reliability values of mentioned observations get weak. In other words, the good sensitivity level does not guarantee the appropriate reliability distribution in every time [2]. This situation is an important design matter.…”
Section: Optimization Strategymentioning
confidence: 99%
“…A global sensitivity criterion for the geodetic networks could be estimated by simple averaging all local sensitivities (Hsu and Hsiao, 2002;Hsu et al, 2008). Using Eq.…”
Section: A Priori Sensitivity Analysis Techniquementioning
confidence: 99%
“…Recently, research on robustness and sensitivity levels of geodetic networks has gained more importance. Concentrating in the last few years the studies are carried out together with strain models (Hsu et al, 2008;Han et al, 2011;Even-Tzur, 2006, 2010. Even-Tzur (2010) suggested that the sensitivity levels of geodetic networks could be able to improve by using an extended Helmert transformation model representing the strain model.…”
Section: Introductionmentioning
confidence: 99%