FB Mathematik, Informatik, Technik
Hochschule Koblenz
- 02642/932-300
- 02642/932-301
Reddig, Fabian; Hütt, Christoph; Jenal, Alexander et al.
The Invisible Plant: Estimating Fractional Vegetation Cover of Tillandsia landbeckii in the Atacama Desert using Hyperspectral EnMAP and High-Resolution Validation DataPFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. Bd. 93. H. 6. Springer Science and Business Media LLC 2025 S. 583 - 609
Neuhäuser, Markus
Verschobene Geschlechterverhältnisse in MischlingsbrutenDer Vogelfreund. H. 12. 2025
Scheef, Lukas; Steimers, André
Wearables: Smarte Technologien für Gesundheit, Arbeit und Alltagsicher ist sicher. H. 3. Erich Schmidt Verlag GmbH & Co. KG 2025
Welsch, Denise; Neuhäuser, Markus
Wilcoxon Signed-Rank testLovric, Miodrag (Hrsg). International Encyclopedia of Statistical Science. Second Edition. Aufl. Springer 2025 S. 2898 - 2900
Neuhäuser, Markus
Wilcoxon-Mann-Whitney testLovric, Miodrag (Hrsg). International Encyclopedia of Statistical Science. Second Edition. Aufl. Springer 2025 S. 2896 - 2898
Skyschally, Andreas; Kleinbongard, Petra; Neuhäuser, Markus et al.
“Expression of concern” : publication bias for positive preclinical cardioprotection studiesBasic Research in Cardiology. Bd. 119. Springer 2024 S. 397 - 402
Murakami, Hidetoshi; Neuhäuser, Markus
A maximum statistic for the one-sided location-scale alternative in the two-stage designStatistical Methods & Applications. Bd. 34. Springer Science and Business Media LLC 2024 S. 91 - 112
Neuhäuser, Markus; Ruxton, Graeme D.
A note on the Wilcoxon-Mann-Whitney test and tied observationsPLOS ONE. Bd. 19. H. 8. Public Library of Science (PLoS) 2024 e0309074
Bundschuh, Lena; Buermann, Jens; Toma, Marieta et al.
A Tumor Volume Segmentation Algorithm Based on Radiomics Features in FDG-PET in Lung Cancer Patients, Validated Using Surgical SpecimensDiagnostics. Bd. 14. H. 23. MDPI AG 2024 S. 2654
Schneider, Moritz; Reich, Kevin; Hartmann, Ulrich et al.
Acquisition of Data on Kinematic Responses to Unpredictable Gait Perturbations : Collection and Quality Assurance of Data for Use in Machine Learning Algorithms for (Near-)Fall DetectionSensors. Bd. 24. H. 16. MDPI AG 2024 S. 5381