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16 Publications


2023 | Journal Article | LibreCat-ID: 45484
M. A. Sherif, A. A. M. da Silva, S. Pestryakova, A. F. Ahmed, S. Niemann, and A.-C. N. Ngomo, “IngridKG: A FAIR Knowledge Graph of Graffiti,” Scientific Data, vol. 10, no. 1, Art. no. 318, 2023, doi: 10.1038/s41597-023-02199-8.
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2022 | Journal Article | LibreCat-ID: 32335
S. PODWORNY, S. Hüsing, and C. SCHULTE, “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING,” STATISTICS EDUCATION RESEARCH JOURNAL, vol. 21, no. 2, Art. no. 6, 2022, doi: 10.52041/serj.v21i2.46.
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2022 | Journal Article | LibreCat-ID: 34200
T. Bloh, “Rekonstruktive Evaluationsforschung im Kontext praxeologischer Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen Evaluationsforschung,” Zeitschrift für Evaluation, vol. 2022, no. 02, pp. 193–215, 2022, doi: 10.31244/zfe.2022.02.02.
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2022 | Journal Article | LibreCat-ID: 48108
S. PODWORNY, S. HÜSING, and C. SCHULTE, “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING,” STATISTICS EDUCATION RESEARCH JOURNAL, vol. 21, no. 2, Art. no. 6, 2022, doi: 10.52041/serj.v21i2.46.
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2022 | Journal Article | LibreCat-ID: 50025
Y. Feng, T. Gries, S. Letmathe, and D. Schulz, “The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series,” The R Journal, vol. 14, no. 1, pp. 182–195, 2022, doi: 10.32614/rj-2022-017.
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2022 | Journal Article | LibreCat-ID: 33666
Y. Feng, T. Gries, S. Letmathe, and D. Schulz, “The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series,” The R Journal, vol. 14, no. 1, pp. 182–195, 2022, doi: 10.32614/rj-2022-017.
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2022 | Journal Article | LibreCat-ID: 34920
R. Biehler, R. De Veaux, J. Engel, S. Kazak, and D. Frischemeier, “Editorial: Research on Data Science Education,” Statistics Education Research Journal, vol. 21, no. 2, Art. no. 1, 2022, doi: 10.52041/serj.v21i2.606.
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2022 | Journal Article | LibreCat-ID: 35672
Y. Fleischer, R. Biehler, and C. Schulte, “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks,” Statistics Education Research Journal, vol. 21, no. 2, Art. no. 7, 2022, doi: 10.52041/serj.v21i2.61.
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2021 | Journal Article | LibreCat-ID: 32243
L. Dabelow, S. Bo, and R. Eichhorn, “How irreversible are steady-state trajectories of a trapped active particle?,” Journal of Statistical Mechanics: Theory and Experiment, vol. 2021, no. 3, Art. no. 033216, 2021, doi: 10.1088/1742-5468/abe6fd.
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2021 | Journal Article | LibreCat-ID: 33649
J. Kessler, F. Calcavecchia, and T. Kühne, “Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo,” Advanced Theory and Simulations, vol. 4, no. 4, Art. no. 2000269, 2021, doi: 10.1002/adts.202000269.
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2021 | Journal Article | LibreCat-ID: 48109
D. Frischemeier, R. Biehler, S. Podworny, and L. Budde, “A first introduction to data science education in secondary schools: Teaching and learning about data exploration with <scp>CODAP</scp> using survey data,” Teaching Statistics, vol. 43, no. S1, 2021, doi: 10.1111/test.12283.
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2021 | Journal Article | LibreCat-ID: 35737
R. Biehler and Y. Fleischer, “Introducing students to machine learning with decision trees using CODAP and Jupyter Notebooks,” Teaching Statistics, vol. 43, pp. S133–S142, 2021, doi: 10.1111/test.12279.
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2021 | Journal Article | LibreCat-ID: 35751
D. Frischemeier, R. Biehler, S. Podworny, and L. Budde, “A first introduction to data science education in secondary schools: Teaching and learning about data exploration with<scp>CODAP</scp>using survey data,” Teaching Statistics, vol. 43, no. S1, pp. S182–S189, 2021, doi: 10.1111/test.12283.
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2020 | Journal Article | LibreCat-ID: 45561
P. Duman, “Does Informational Equivalence Preserve Strategic Behavior? Experimental Results on Trockel’s Model of Selten’s Chain Store Story,” Games, vol. 11, no. 1, Art. no. 9, 2020, doi: 10.3390/g11010009.
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1991 | Journal Article | LibreCat-ID: 40334
H.-S. Kitzerow, B. Jérôme, and P. Pieranski, “Strain-induced anchoring transitions,” Physica A: Statistical Mechanics and its Applications, vol. 174, no. 1, pp. 163–194, 1991, doi: 10.1016/0378-4371(91)90423-a.
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1991 | Journal Article | LibreCat-ID: 40218
R. Lasser and M. Rösler, “Linear mean estimation of weakly stationary stochastic processes under the aspects of optimality and asymptotic optimality,” Stochastic Processes and their Applications, vol. 38, no. 2, pp. 279–293, 1991, doi: 10.1016/0304-4149(91)90095-t.
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