Particle emission concept and probabilistic consideration of the development of infections in systems
Dynamics from logarithm and exponent in the infection process, percolation effects
Autoren
Parameter
- Seitenzahl
- 124 Seiten
- Lesezeit
- 5 Stunden
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Exploring advanced statistical methods, this book presents a probabilistic prognosis model that utilizes the mean n-day logarithm of historical case numbers to establish a probability density exponent. It also introduces the particle emission concept, which is based on contact and distribution rates. This concept enhances the exponent of probable outcomes, allowing for the formation of groups based on predictive analytics. The book combines mathematical theory with practical applications in forecasting, making it a valuable resource for understanding complex data trends.
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Particle emission concept and probabilistic consideration of the development of infections in systems, Marcus Hellwig
- Sprache
- Erscheinungsdatum
- 2021
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- (Paperback)
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- Titel
- Particle emission concept and probabilistic consideration of the development of infections in systems
- Untertitel
- Dynamics from logarithm and exponent in the infection process, percolation effects
- Sprache
- Englisch
- Autor*innen
- Marcus Hellwig
- Erscheinungsdatum
- 2021
- Einband
- Paperback
- Seitenzahl
- 124
- ISBN13
- 9783030694999
- Kategorie
- Medizin & Gesundheit, Mathematik, Naturwissenschaften
- Beschreibung
- Exploring advanced statistical methods, this book presents a probabilistic prognosis model that utilizes the mean n-day logarithm of historical case numbers to establish a probability density exponent. It also introduces the particle emission concept, which is based on contact and distribution rates. This concept enhances the exponent of probable outcomes, allowing for the formation of groups based on predictive analytics. The book combines mathematical theory with practical applications in forecasting, making it a valuable resource for understanding complex data trends.