Selected article for: "analysis perform and standard deviation"

Author: Ignazio Ciufolini; Antonio Paolozzi
Title: Prediction of the time evolution of the Covid-19 Pandemic in Italy by a Gauss Error Function and Monte Carlo simulations
  • Document date: 2020_3_30
  • ID: ltcfsrb2_12
    Snippet: We then multiplied the nominal value of the diagnosed positive cases of the -th day for the 150 numbers of the -th column of the random matrix mentioned above. In such a way each day will be associated with a series of 150 numbers (Gaussian distributed with an uncertainty of 10% standard deviation) which simulate the statistical nature of the single datum. The index will run from February 15, 2020 to March 26, 2020. Finally, from the daily data, .....
    Document: We then multiplied the nominal value of the diagnosed positive cases of the -th day for the 150 numbers of the -th column of the random matrix mentioned above. In such a way each day will be associated with a series of 150 numbers (Gaussian distributed with an uncertainty of 10% standard deviation) which simulate the statistical nature of the single datum. The index will run from February 15, 2020 to March 26, 2020. Finally, from the daily data, we generated 150 series of cumulative diagnosed positive cases that allow to perform a statistical analysis.

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