Particle emission concept and probabilistic consideration of the development of infections in systems
Springer International Publishing (Verlag)
978-3-030-69499-9 (ISBN)
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.
lt;b> Marcus Hellwig is quality manager according to qualification by the German Society for Quality DGQ and author of reference books.
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.
| Erscheinungsdatum | 05.05.2021 |
|---|---|
| Zusatzinfo | XIII, 110 p. 95 illus., 93 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 148 x 210 mm |
| Gewicht | 171 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik |
| Schlagworte | Addition of the parameter Kurtosis to the density Eqb4 • Analysis of density Eqb • Basis for a probabilistic forecast • Breathing air (aerosols) • Consequences of the percolation effect • Continuous adjustment of the parameters • Corona virus • Distribution rate and contact rate • Doubts about statistical surveys • Dynamic exponent • handshake • Hygiene consequences • Incidence under probabilistic aspects • Logarithm of historical data • On the percolation theory COVID • Prediction using the density function • Principles for exponential propagation • Principles of percolation-interface effects • Public Healthcare • Spread of biological infections • The difference between influenza flu and COVID wave |
| ISBN-10 | 3-030-69499-2 / 3030694992 |
| ISBN-13 | 978-3-030-69499-9 / 9783030694999 |
| Zustand | Neuware |
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