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SIR - Model Supported by a New Density = Action Document for an Adapted COVID - Management /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
SIR - Model Supported by a New Density / by Marcus Hellwig.
Reminder of title:
Action Document for an Adapted COVID - Management /
Author:
Hellwig, Marcus.
Description:
XII, 67 p. 47 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Statistics . -
Online resource:
https://doi.org/10.1007/978-3-031-05273-6
ISBN:
9783031052736
SIR - Model Supported by a New Density = Action Document for an Adapted COVID - Management /
Hellwig, Marcus.
SIR - Model Supported by a New Density
Action Document for an Adapted COVID - Management /[electronic resource] :by Marcus Hellwig. - 1st ed. 2022. - XII, 67 p. 47 illus.online resource. - Springer essentials,2731-3115. - Springer essentials,.
Occasion -- Objectives -- SIR model as the basis for a probabilistic model -- Preventive consideration using probabilistic SIR modelling -- The “infection curve” I (t) is replaced by the inclined, steep Eqb density function -- Events and findings from the recent past -- Ways out of symmetry, union with asymmetry -- Random scatter areas of the NV and the Eqb -- Presentation of the Equibalance Distribution, Eqb -- Infection management in relation to the course of incidence.
The SIR - model supported by a new density and its derivatives receive a statistical data background from frequency distributions, from whose parameter values over the new density distribution a quality-oriented probability of the respective infection process and its future can be concluded. Thus the COVID - management receives a functionally model basis for the preventive control of the components time planning, cost development, quality management and personnel and material employment. The content SIR model as the basis for a probabilistic model Preventive consideration using probabilistic SIR modeling The “infection curve” I (t) is replaced by the inclined, steep Eqb density function Events and findings from the recent past Ways out of symmetry, union with asymmetry Random scatter areas of the NV and the Eqb Presentation of the Equibalance Distribution, Eqb Infection management in relation to the course of incidence The target groups Health resources and services management, virology, students, statisticians. The author Marcus Hellwig is a quality manager according to the qualification by the German Society for Quality DGQ and author of technical books.
ISBN: 9783031052736
Standard No.: 10.1007/978-3-031-05273-6doiSubjects--Topical Terms:
1253516
Statistics .
LC Class. No.: QA276-280
Dewey Class. No.: 519
SIR - Model Supported by a New Density = Action Document for an Adapted COVID - Management /
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Occasion -- Objectives -- SIR model as the basis for a probabilistic model -- Preventive consideration using probabilistic SIR modelling -- The “infection curve” I (t) is replaced by the inclined, steep Eqb density function -- Events and findings from the recent past -- Ways out of symmetry, union with asymmetry -- Random scatter areas of the NV and the Eqb -- Presentation of the Equibalance Distribution, Eqb -- Infection management in relation to the course of incidence.
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The SIR - model supported by a new density and its derivatives receive a statistical data background from frequency distributions, from whose parameter values over the new density distribution a quality-oriented probability of the respective infection process and its future can be concluded. Thus the COVID - management receives a functionally model basis for the preventive control of the components time planning, cost development, quality management and personnel and material employment. The content SIR model as the basis for a probabilistic model Preventive consideration using probabilistic SIR modeling The “infection curve” I (t) is replaced by the inclined, steep Eqb density function Events and findings from the recent past Ways out of symmetry, union with asymmetry Random scatter areas of the NV and the Eqb Presentation of the Equibalance Distribution, Eqb Infection management in relation to the course of incidence The target groups Health resources and services management, virology, students, statisticians. The author Marcus Hellwig is a quality manager according to the qualification by the German Society for Quality DGQ and author of technical books.
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