Selected article for: "black line and Gauss function"

Author: Janik Schuttler; Reinhard Schlickeiser; Frank Schlickeiser; Martin Kroger
Title: Covid-19 predictions using a Gauss model, based on data from April 2
  • Document date: 2020_4_11
  • ID: 14x9luqu_5
    Snippet: We model the time-dependent daily change of infections and daily change of deaths with their own, a priori independent, time-dependent Gaussian functions denoted by i(t) and d(t). Each Gaussian is a bell-shaped curve, the black line in Fig. 1(a) , characterized by three independent parameters: a width, a maximum height and a time at which the Gaussian curve attains this maximum height. For any value of these parameters, the general form of the G.....
    Document: We model the time-dependent daily change of infections and daily change of deaths with their own, a priori independent, time-dependent Gaussian functions denoted by i(t) and d(t). Each Gaussian is a bell-shaped curve, the black line in Fig. 1(a) , characterized by three independent parameters: a width, a maximum height and a time at which the Gaussian curve attains this maximum height. For any value of these parameters, the general form of the Gauss function -the bell-shaped curve in Fig. 1 (a) -is preserved, but the concrete fit to given data can be optimized, as illustrated in Fig. 1(b) for varying parameters.

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