國立虎尾科技大學 |

Uncertainty in Engineering = Introduction to Methods and Applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Uncertainty in Engineering/ edited by Louis J. M. Aslett, Frank P. A. Coolen, Jasper De Bock.
其他題名:	Introduction to Methods and Applications /
其他作者:	De Bock, Jasper.
面頁冊數:	VII, 147 p. 55 illus., 41 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Bayesian Inference. -
電子資源:	https://doi.org/10.1007/978-3-030-83640-5
ISBN:	9783030836405

Uncertainty in Engineering = Introduction to Methods and Applications /
Uncertainty in EngineeringIntroduction to Methods and Applications /[electronic resource] :edited by Louis J. M. Aslett, Frank P. A. Coolen, Jasper De Bock. - 1st ed. 2022. - VII, 147 p. 55 illus., 41 illus. in color.online resource. - SpringerBriefs in Statistics,2191-5458. - SpringerBriefs in Statistics,0.

Introduction to Bayesian statistical inference -- Sampling from complex probability distributions: a Monte Carlo primer for engineers -- Introduction to the theory of imprecise probability -- Imprecise discrete-time Markov chains -- Statistics with imprecise probabilities – a short survey -- Reliability -- Simulation methods for the analysis of complex systems -- Overview of stochastic model updating in aerospace application under uncertainty treatment -- Aerospace flight modeling and experimental testing.

Open Access

This open access book provides an introduction to uncertainty quantiﬁcation in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability theory and simulation methods for complex systems. The ﬁnal two chapters discuss various aspects of aerospace engineering, considering stochastic model updating from an imprecise Bayesian perspective, and uncertainty quantiﬁcation for aerospace ﬂight modelling. Written by experts in the subject, and based on lectures given at the Second Training School of the European Research and Training Network UTOPIAE (Uncertainty Treatment and Optimization in Aerospace Engineering), which took place at Durham University (United Kingdom) from 2 to 6 July 2018, the book offers an essential resource for students as well as scientists and practitioners.

ISBN: 9783030836405

Standard No.: 10.1007/978-3-030-83640-5doiSubjects--Topical Terms:

1211345
Bayesian Inference.

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Uncertainty in Engineering = Introduction to Methods and Applications /
LDR:02902nam a22004215i 4500 001 1091662
003 DE-He213
005 20220114082102.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783030836405 $9 978-3-030-83640-5
024 7 $a 10.1007/978-3-030-83640-5 $2 doi
035 $a 978-3-030-83640-5
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 519.5 $2 23
245 1 0 $a Uncertainty in Engineering $h [electronic resource] : $b Introduction to Methods and Applications / $c edited by Louis J. M. Aslett, Frank P. A. Coolen, Jasper De Bock.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a VII, 147 p. 55 illus., 41 illus. in color. $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 SpringerBriefs in Statistics, $x 2191-5458
505 0 $a Introduction to Bayesian statistical inference -- Sampling from complex probability distributions: a Monte Carlo primer for engineers -- Introduction to the theory of imprecise probability -- Imprecise discrete-time Markov chains -- Statistics with imprecise probabilities – a short survey -- Reliability -- Simulation methods for the analysis of complex systems -- Overview of stochastic model updating in aerospace application under uncertainty treatment -- Aerospace flight modeling and experimental testing.
506 0 $a Open Access
520 $a This open access book provides an introduction to uncertainty quantiﬁcation in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability theory and simulation methods for complex systems. The ﬁnal two chapters discuss various aspects of aerospace engineering, considering stochastic model updating from an imprecise Bayesian perspective, and uncertainty quantiﬁcation for aerospace ﬂight modelling. Written by experts in the subject, and based on lectures given at the Second Training School of the European Research and Training Network UTOPIAE (Uncertainty Treatment and Optimization in Aerospace Engineering), which took place at Durham University (United Kingdom) from 2 to 6 July 2018, the book offers an essential resource for students as well as scientists and practitioners.
650 2 4 $a Bayesian Inference. $3 1211345
650 2 4 $a Industrial and Production Engineering. $3 593943
650 2 4 $a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 1366002
650 1 4 $a Statistical Theory and Methods. $3 671396
650 0 $a Production engineering. $3 566269
650 0 $a Industrial engineering. $3 679492
650 0 $a Statistics . $3 1253516
700 1 $a De Bock, Jasper. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1399274
700 1 $a Coolen, Frank P. A. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1399273
700 1 $a Aslett, Louis J. M. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1399272
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030836399
776 0 8 $i Printed edition: $z 9783030836412
830 0 $a SpringerBriefs in Statistics, $x 2191-544X ; $v 0 $3 1254767
856 4 0 $u https://doi.org/10.1007/978-3-030-83640-5
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
912 $a ZDB-2-SOB
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)