Particle emission concept and probabilistic consideration of the development of infections in systems
Dynamics from logarithm and exponent in the infection process, percolation effects
(Sprache: Englisch)
The book describes the possibility of making a probabilistic prognosis, which uses the mean n-day logarithm of case numbers in the past to determine an exponent for a probability density for a prognosis, as well as the particle emission concept, which is...
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The book describes the possibility of making a probabilistic prognosis, which uses the mean n-day logarithm of case numbers in the past to determine an exponent for a probability density for a prognosis, as well as the particle emission concept, which is derived from contact and distribution rates that increase the exponent of the probable development to the extent that a group of people can be formed. Inhaltsverzeichnis zu „Particle emission concept and probabilistic consideration of the development of infections in systems “
Trends in the spread of infections, distribution and contact rates.- Addition of the 4th parameter kurtosis to the density Eqb.- Prediction using the density function and continuous adjustment of the parameters.- Basics for exponential propagation, the logarithm of historical data.- Developments in the USA.- Incidence under probabilistic aspects.- On the percolation theory COVID.- Examples of percolation effects.Autoren-Porträt von Marcus Hellwig
Marcus Hellwig is quality manager according to qualification by the German Society for Quality DGQ and author of reference books.
Bibliographische Angaben
- Autor: Marcus Hellwig
- 2021, 1st ed. 2021, XIII, 110 Seiten, 93 farbige Abbildungen, Masse: 14,8 x 21 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3030694992
- ISBN-13: 9783030694999
Sprache:
Englisch
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