東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Probabilistic risk analysis and Baye...

Van Oijen, Marcel.

Linked to FindBook

Google Book

Amazon

博客來

Probabilistic risk analysis and Bayesian decision theory

Record Type:	Electronic resources : Monograph/item
Title/Author:	Probabilistic risk analysis and Bayesian decision theory/ by Marcel van Oijen, Mark Brewer.
Author:	Van Oijen, Marcel.
other author:	Brewer, Mark.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xiii, 114 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Bayesian statistical decision theory. -
Online resource:	https://doi.org/10.1007/978-3-031-16333-3
ISBN:	9783031163333

Probabilistic risk analysis and Bayesian decision theory
Van Oijen, Marcel.

Probabilistic risk analysis and Bayesian decision theory[electronic resource] /by Marcel van Oijen, Mark Brewer. - Cham :Springer International Publishing :2022. - xiii, 114 p. :ill., digital ;24 cm. - SpringerBriefs in statistics,2191-5458. - SpringerBriefs in statistics..

The book shows how risk, defined as the statistical expectation of loss, can be formally decomposed as the product of two terms: hazard probability and system vulnerability. This requires a specific definition of vulnerability that replaces the many fuzzy definitions abounding in the literature. The approach is expanded to more complex risk analysis with three components rather than two, and with various definitions of hazard. Equations are derived to quantify the uncertainty of each risk component and show how the approach relates to Bayesian decision theory. Intended for statisticians, environmental scientists and risk analysts interested in the theory and application of risk analysis, this book provides precise definitions, new theory, and many examples with full computer code. The approach is based on straightforward use of probability theory which brings rigour and clarity. Only a moderate knowledge and understanding of probability theory is expected from the reader.

ISBN: 9783031163333

Standard No.: 10.1007/978-3-031-16333-3doiSubjects--Topical Terms:

551404
Bayesian statistical decision theory.

LC Class. No.: QA279.5

Dewey Class. No.: 519.542

Probabilistic risk analysis and Bayesian decision theory
LDR:02017nmm a2200325 a 4500 001 2305812
003 DE-He213
005 20221123102921.0
006 m d
007 cr nn 008maaau
008 230409s2022 sz s 0 eng d
020 $a 9783031163333 $q (electronic bk.)
020 $a 9783031163326 $q (paper)
024 7 $a 10.1007/978-3-031-16333-3 $2 doi
035 $a 978-3-031-16333-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA279.5
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519.542 $2 23
090 $a QA279.5 $b .V272 2022
100 1 $a Van Oijen, Marcel. $3 3609257
245 1 0 $a Probabilistic risk analysis and Bayesian decision theory $h [electronic resource] / $c by Marcel van Oijen, Mark Brewer.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xiii, 114 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in statistics, $x 2191-5458
520 $a The book shows how risk, defined as the statistical expectation of loss, can be formally decomposed as the product of two terms: hazard probability and system vulnerability. This requires a specific definition of vulnerability that replaces the many fuzzy definitions abounding in the literature. The approach is expanded to more complex risk analysis with three components rather than two, and with various definitions of hazard. Equations are derived to quantify the uncertainty of each risk component and show how the approach relates to Bayesian decision theory. Intended for statisticians, environmental scientists and risk analysts interested in the theory and application of risk analysis, this book provides precise definitions, new theory, and many examples with full computer code. The approach is based on straightforward use of probability theory which brings rigour and clarity. Only a moderate knowledge and understanding of probability theory is expected from the reader.
650 0 $a Bayesian statistical decision theory. $3 551404
650 0 $a Probabilities. $3 518889
650 0 $a Risk assessment $x Statistical methods. $3 750248
700 1 $a Brewer, Mark. $3 3609258
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in statistics. $3 1565658
856 4 0 $u https://doi.org/10.1007/978-3-031-16333-3
950 $a Mathematics and Statistics (SpringerNature-11649)