Particle emission concept and probabilistic consideration of the development of infections in systems - Dynamics from logarithm and exponent in the infection process, percolation effects

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

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.

Über den Autor / die Autorin

¿Marcus Hellwig is quality manager according to qualification by the German Society for Quality DGQ and author of reference books.

Produktdetails

• Autoren: Marcus Hellwig, Marcus Fritz Heinrich Hellwig
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 13.04.2021
• EAN: 9783030694999
• ISBN: 978-3-0-3069499-9
• Seiten: 110
• Abmessung: 148 mm x 7 mm x 210 mm
• Illustration: XIII, 110 p. 95 illus., 93 illus. in color.
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Mathematik > Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik