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Particle emission concept and probabilistic consideration of the development of infections in systems : Dynamics from logarithm and exponent in the infection process, percolation effects / by Marcus Hellwig

1st ed. 2021.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2021
本文言語 英語
大きさ XIII, 110 p. 95 illus., 93 illus. in color : online resource
著者標目 *Hellwig, Marcus author
SpringerLink (Online service)
件 名 LCSH:Statistics 
LCSH:Public health
LCSH:Probabilities
LCSH:Biometry
LCSH:Virology
FREE:Applied Statistics
FREE:Public Health
FREE:Applied Probability
FREE:Biostatistics
FREE:Statistics
FREE:Virology
一般注記 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
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. The content 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 Thetarget groups Management of health resources and services, virology, students, statisticians The author Marcus Hellwig is quality manager according to qualification by the German Society for Quality DGQ and author of reference books
HTTP:URL=https://doi.org/10.1007/978-3-030-69500-2
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Springer eBooks 9783030695002
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EB00229031

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データ種別 電子ブック
分 類 LCC:QA276-280
DC23:519
書誌ID 4000140825
ISBN 9783030695002

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