Mathematical forecasts are hypotheses: considering uncertainty in publishing COVID-19 pandemic data
The current period is, at the same time, highly uncertainty and intensive in data production. In the analysis of scenarios produced by the COVID-19 pandemic, we make forecast based on mathematical models where exact assumptions are never true. This leads to a reconsideration of the usual form of dat...
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| Format: | Book |
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Universidad Carlos III de Madrid,
2020-07-01T00:00:00Z.
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Internet
Connect to this object online.3rd Floor Main Library
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A1234.567 |
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| Copy 1 | Available |