Link | Autor(en) | Titel | Jahr | Typ | Seiten MByte |
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Erdogan B, Hekimoglu S, Durdag UM, Ocalan T | Empirical estimation of the power of test in outlier detection problem | 2019 | | 16 0.3 |
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Matsuoka MT, Rofatto VF, Klein I, Gomes AFS, Guzatto MP | Monte Carlo Simulation for Outlier Identification Studies in Geodetic Network: An Example in A Levelling Network Using Iterative Data Snooping | 2019 | | 11 0.1 |
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Zienkiewicz MH | Determination of an adequate number of competitive functional models in the square Msplit(q) estimation with the use of a modified Baarda’s approach | 2018 | | 0 0.1 |
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Rofatto VF, Matsuoka MT, Klein I | An Attempt to Analyse Baarda’s Iterative Data Snooping Procedure based on Monte Carlo Simulation | 2017 | | 20 0.1 |
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Cymerman M, Duchnowski R, Kopiejczyk A | Selection of Initial Parameters in R-Estimates Applied to Deformation Analysis in Leveling Networks | 2016 | | 6 0.1 |
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Chang L,Hu B,Chang G, Li A | Multiple Outliers Suppression Derivative-Free Filter Based on Unscented Transformation | 2012 | | 6 0.1 |
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Wang J, Knight NL | New Outlier Separability Test and Its Application in GNSS Positioning | 2012 | | 12 0.1 |
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Baselga S | Exhaustive search procedure for multiple outlier detection | 2011 | | 16 0.1 |
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Kiware SS | Detection of Outliers in Time Series Data | 2010 | | 89 0.1 |
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Wiśniewski Z | M split(q) estimation: estimation of parameters in a multi split functional model of geodetic observations | 2010 | | 8 0.1 |