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Statistical analysis of COVID-19
Zapoměl, Jakub ; Popela, Pavel (referee) ; Žák, Libor (advisor)
This thesis deals with the statistical analysis of COVID-19 disease. The thesis focuses on data processing related to the disease, the formulation and verification of statistical hypotheses, the application of piecewise linear regression, the prediction of the further development of the disease, and the verification of predictions presented in the media. Specific analyses are conducted using Python.

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