國立虎尾科技大學 |

SIR - Model Supported by a New Density = Action Document for an Adapted COVID - Management /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	SIR - Model Supported by a New Density / by Marcus Hellwig.
其他題名:	Action Document for an Adapted COVID - Management /
作者:	Hellwig, Marcus.
面頁冊數:	XII, 67 p. 47 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Mathematical Statistics. -
電子資源:	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:

1366363
Mathematical Statistics.

LC Class. No.: QA276-280

Dewey Class. No.: 519

SIR - Model Supported by a New Density = Action Document for an Adapted COVID - Management /
LDR:03034nam a22003975i 4500 001 1087255
003 DE-He213
005 20220612090754.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783031052736 $9 978-3-031-05273-6
024 7 $a 10.1007/978-3-031-05273-6 $2 doi
035 $a 978-3-031-05273-6
050 4 $a QA276-280
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519 $2 23
100 1 $a Hellwig, Marcus. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1265215
245 1 0 $a SIR - Model Supported by a New Density $h [electronic resource] : $b Action Document for an Adapted COVID - Management / $c by Marcus Hellwig.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a XII, 67 p. 47 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Springer essentials, $x 2731-3115
505 0 $a 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.
520 $a 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.
650 2 4 $a Mathematical Statistics. $3 1366363
650 2 4 $a Applied Probability. $3 1390075
650 2 4 $a Biostatistics. $3 783654
650 2 4 $a Public Health. $3 592982
650 1 4 $a Applied Statistics. $3 1205141
650 0 $a Virology. $3 644995
650 0 $a Mathematical statistics. $3 527941
650 0 $a Probabilities. $3 527847
650 0 $a Biometry. $3 598268
650 0 $a Public health. $3 560998
650 0 $a Statistics . $3 1253516
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783031052729
776 0 8 $i Printed edition: $z 9783031052743
830 0 $a Springer essentials, $x 2731-3115 $3 1350387
856 4 0 $u https://doi.org/10.1007/978-3-031-05273-6
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)