Particle emission concept and probabilistic consideration of the development of infections in systems: Dynamics from logarithm and exponent in the infection process, percolation effects
May 2021 · Springer Nature
Ebook
110
Pages
reportRatings and reviews aren’t verified Learn More
About this ebook
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.
About the author
Marcus Hellwig is quality manager according to qualification by the German Society for Quality DGQ and author of reference books.
Rate this ebook
Tell us what you think.
Reading information
Smartphones and tablets
Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.
Laptops and computers
You can listen to audiobooks purchased on Google Play using your computer's web browser.
eReaders and other devices
To read on e-ink devices like Kobo eReaders, you'll need to download a file and transfer it to your device. Follow the detailed Help Center instructions to transfer the files to supported eReaders.
