Universität Leipzig Data Publications
Permanent URI for this collectionhttp://opara.zih.tu-dresden.de/handle/123456789/33
Data publications from research of Leipzig University.
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Browsing Universität Leipzig Data Publications by Subject "1::12::112"
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Item Open Access A New Risk Assessment Model for Unexploded underwater Military Munitions: Application Data(Universität Leipzig, 2025-03-03) Frey, TorstenThis file contains application demonstration data from the following doctoral thesis: Frey, Torsten. A New Risk Assessment Model for Unexploded underwater Military Munitions. Dissertation. Leipzig University. Leipzig. 2025. https://doi.org/10.5281/zenodo.14620239. For detailed information, the interested party is referred to section 6.3 of the dissertation.Item Open Access A New Risk Assessment Model for Unexploded underwater Military Munitions: Monte Carlo Simulation(Universität Leipzig, 2025-02-25) Frey, TorstenThis file contains monte carlo simulation data from the following doctoral thesis: Frey, Torsten. A New Risk Assessment Model for Unexploded underwater Military Munitions. Dissertation. Leipzig University. Leipzig. 2025. https://doi.org/10.5281/zenodo.14620239. For detailed information, the interested party is referred to section 6.2 and Appendix 10 of the dissertation.Item Open Access A New Risk Assessment Model for Unexploded underwater Military Munitions: Sensitivity Analysis(Universität Leipzig, 2025-02-04) Frey, TorstenThis file contains sensitivity analysis data to the following doctoral thesis: Frey, Torsten. A New Risk Assessment Model for Unexploded underwater Military Munitions. Dissertation. Leipzig University. Leipzig. 2025. DOI: 10.5281/zenodo.14620239. For detailed information, the interested party is referred to section 6.1 and Appendix 9 of the dissertation.Item Open Access A New Risk Assessment Model for Unexploded underwater Military Munitions: Workshop 1 Poll Results(Universität Leipzig, 2025-03-03) Frey, TorstenThis file contains workshop poll data from the following doctoral thesis: Frey, Torsten. A New Risk Assessment Model for Unexploded underwater Military Munitions. Dissertation. Leipzig University. Leipzig. 2025. https://doi.org/10.5281/zenodo.14620239. For detailed information, the interested party is referred to Appendices 3 and 4 of the dissertation.Item Open Access A New Risk Assessment Model for Unexploded underwater Military Munitions: Workshop 2 Poll Results(Universität Leipzig, 2025-03-03) Frey, TorstenThis file contains workshop poll data from the following doctoral thesis: Frey, Torsten. A New Risk Assessment Model for Unexploded underwater Military Munitions. Dissertation. Leipzig University. Leipzig. 2025. https://doi.org/10.5281/zenodo.14620239. For detailed information, the interested party is referred to Appendices 6, 7, and 8 of the dissertation.Item Open Access Guidelines for quantitative survey on perception of urban green spaces during COVID-19 pandemic(Universität Leipzig, 2024-03-22) Hübscher, MarcusThis is the survey guideline used for the quantitative survey.Item Open Access Supplementary data for: Weighted Shapley values and allocation of portfolio risk: One approach to solve the low-risk puzzle?(Universität Leipzig, 2025-11-05) Hiller, TobiasThe data set contains data for the article “Weighted Shapley values and allocation of portfolio risk: One approach to solve the low-risk puzzle?”. This includes a description of the simulation settings, the Excel macros for calculating the results in the case of equal shares and random asset shares, and the 100,000 simulation results for both cases in Excel. Abstract of the paper: In this article, we extend the application of cooperative game theory to solve the so-called low-risk puzzle. Specifically, we apply concepts that consider asset weights in the allocation of portfolio risk. These weights can take into account various asset characteristics (e.g., image, popularity of an asset, corporate social responsibility, innovative strength) that have not been previously considered in portfolio risk allocation using cooperative game theory. We demonstrate the application through a simulation study. Our results show that considering assets weights could deliver added value when solving the low-risk puzzle.
