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Zaminpardaz, S. (author), Teunissen, P.J.G. (author)
Statistical testing procedures employed in geodetic quality control often consist of two steps: detection and identification. In the detection step, the null hypothesis (working model) ℋ<sub>0</sub> undergoes a validity check. If the outcome of the detection step is the rejection of ℋ<sub>0</sub>, identification of potential source of model...
conference paper 2024
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Zaminpardaz, S. (author), Teunissen, P.J.G. (author), Tiberius, C.C.J.M. (author)
As parameter estimation and statistical testing are often intimately linked in the processing of observational data, the uncertainties involved in both estimation and testing need to be properly propagated into the final results produced. This necessitates the use of conditional distributions when evaluating the quality of the resulting...
journal article 2019
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Zaminpardaz, Safoora (author), Teunissen, P.J.G. (author)
The DIA-method, for the detection, identification and adaptation of modeling errors, has been widely used in a broad range of applications including the quality control of geodetic networks and the integrity monitoring of GNSS models. The DIA-method combines two key statistical inference tools, estimation and testing. Through the former, one...
conference paper 2019
document
Zaminpardaz, S. (author), Teunissen, P.J.G. (author)
In this contribution, we present and analyze datasnooping in the context of the DIA method. As the DIA method for the detection, identification and adaptation of mismodelling errors is concerned with estimation and testing, it is the combination of both that needs to be considered. This combination is rigorously captured by the DIA estimator....
journal article 2018
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