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"[...] the present cumulative dissertation tries to contribute from diffrent perspectives to the appropriate handling of data that challenge the above-mentioned idealizations. A focus here is on the one hand on analysis of interval-valued and set-valued data within the methodology of partial identification, and on the other hand on the analysis of data with values in a partially ordered set (poset-valued data). Further tools of statistical modeling treated in the dissertation are necessity measures in the context of possibility theory and concepts of stochastic dominance for poset-valued data. [...]"Die ALLBUS-Daten 2014 werden verwendet.
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?:author
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ALLBUS-Bibliography
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?:dateCreated
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Aufgenommen: 32. Fassung, März 2018
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?:name
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Reliable statistical modeling of weakly structured information: Contributions to partial identification, stochastic partial odering and imprecise probabilities
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?:tags
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2017
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ALLBUS
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ALLBUS2014
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ALLBUS_input2017
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ALLBUS_pro
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ALLBUS_version32
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FDZ_ALLBUS
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checked
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english
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phdthesis
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