Particle emission concept and probabilistic consideration of the development of infections in systems
Marcus Hellwig
Springer International Publishing 
Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik
Beschreibung
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.
Kundenbewertungen
Prediction using the density function, Analysis of density Eqb, Doubts about statistical surveys, Principles of percolation-interface effects, Public Healthcare, Spread of biological infections, Addition of the parameter Kurtosis to the density Eqb4, Logarithm of historical data, The difference between influenza flu and COVID wave, Dynamic exponent, Basis for a probabilistic forecast, Breathing air (aerosols), Consequences of the percolation effect, Incidence under probabilistic aspects, Distribution rate and contact rate, Hygiene consequences, Handshake, corona virus, On the percolation theory COVID, Principles for exponential propagation