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Apr 18, 2018 - AWI Experimental Economics
Trautmann, Stefan T.; Wakker, Peter P., 2018, "Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]", doi:10.11588/data/HNN1FW, heiDATA, V1
The Anscombe-Aumann (AA) model, originally introduced to give a normative basis to expected utility, is nowadays mostly used for another purpose: to analyze deviations from expected utility due to ambiguity (unknown probabilities). The AA model makes two ancillary assumptions tha... |
Apr 18, 2018 -
Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]
ZIP Archive - 71.1 KB - MD5: ce4693156e2003f4803565050f338c00
bmp-Files |
Apr 18, 2018 -
Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]
MS Excel (XLSX) - 19.8 KB - MD5: 726c22409146d097002a124f6c4fc991
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Apr 18, 2018 -
Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]
Adobe PDF - 105.5 KB - MD5: d5848f1f6416e7bdd398762644d454d1
Experiment Instructions |
Apr 18, 2018 -
Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]
Adobe PDF - 331.7 KB - MD5: 2b6021a539615f6772b733206204e5ce
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Apr 18, 2018 -
Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]
ZIP Archive - 21.4 KB - MD5: df6a0e82e87934c193f2c581fefc5463
zTree files (exported for long term preservation) |
Apr 18, 2018 -
Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]
ZIP Archive - 19.4 KB - MD5: 5e4dea577d2674cd3a6b0af40c1f1860
zTree files (original) |
Apr 16, 2018 - GIScience and 3D Spatial Data Processing
Herfort, Benjamin, 2018, "MapSwipe: global dataset of crowdsourced classifications on human settlements and reference datasets", doi:10.11588/data/3GYJUG, heiDATA, V1
MapSwipe is a mobile crowdsourcing application designed for smartphones and tablets to generate geographic information from satellite imagery. Data from 55 projects containing more than nine million tasks and more than 30 million individual classification results contributed by a... |
Apr 16, 2018 -
MapSwipe: global dataset of crowdsourced classifications on human settlements and reference datasets
ZIP Archive - 297.4 MB - MD5: 605e8b210f7a7e0dd8858f21bdb7d0de
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Apr 16, 2018 -
MapSwipe: global dataset of crowdsourced classifications on human settlements and reference datasets
ZIP Archive - 138.8 MB - MD5: 54433b68ddd165b749baa3843a8ab58e
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