Uncertainty in Engineering : : Introduction to Methods and Applications.
Saved in:
Superior document: | SpringerBriefs in Statistics Series |
---|---|
: | |
TeilnehmendeR: | |
Place / Publishing House: | Cham : : Springer International Publishing AG,, 2021. Ã2022. |
Year of Publication: | 2021 |
Edition: | 1st ed. |
Language: | English |
Series: | SpringerBriefs in Statistics Series
|
Online Access: | |
Physical Description: | 1 online resource (148 pages) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
5006824949 |
---|---|
ctrlnum |
(MiAaPQ)5006824949 (Au-PeEL)EBL6824949 (OCoLC)1290485018 |
collection |
bib_alma |
record_format |
marc |
spelling |
Aslett, Louis J. M. Uncertainty in Engineering : Introduction to Methods and Applications. 1st ed. Cham : Springer International Publishing AG, 2021. Ã2022. 1 online resource (148 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier SpringerBriefs in Statistics Series Intro -- Preface -- Contents -- 1 Introduction to Bayesian Statistical Inference -- 1.1 Introduction -- 1.2 Specification of the Prior -- 1.2.1 Conjugate Priors -- 1.3 Point Estimation -- 1.4 Credible Sets -- 1.5 Hypothesis Test -- 1.5.1 Model Selection -- References -- 2 Sampling from Complex Probability Distributions: A Monte Carlo Primer for Engineers -- 2.1 Motivation -- 2.1.1 Generality of Expectations -- 2.1.2 Why Consider Monte Carlo? -- 2.2 Monte Carlo Estimators -- 2.3 Simple Monte Carlo Sampling Methods -- 2.3.1 Inverse Sampling -- 2.3.2 Rejection Sampling -- 2.3.3 Importance Sampling -- 2.4 Further Reading -- References -- 3 Introduction to the Theory of Imprecise Probability -- 3.1 Introduction -- 3.2 Fundamental Concepts -- 3.2.1 Basic Concepts -- 3.2.2 Coherence -- 3.3 Previsions and Probabilities -- 3.3.1 Previsions as Prices for Gambles -- 3.3.2 Probabilities as Previsions of Indicator Gambles -- 3.3.3 Assessments of Lower Previsions -- 3.3.4 Working on Linear Spaces of Gambles -- 3.4 Sets of Probabilities -- 3.4.1 From Lower Previsions to Credal Sets -- 3.4.2 From Credal Sets to Lower Previsions -- 3.5 Basics of Conditioning -- 3.6 Remarks About Infinite Possibility Spaces -- 3.7 Conclusion -- References -- 4 Imprecise Discrete-Time Markov Chains -- 4.1 Introduction -- 4.2 Precise Probability Models -- 4.3 Imprecise Probability Models -- 4.4 Discrete-Time Uncertain Processes -- 4.5 Imprecise Probability Trees -- 4.6 Imprecise Markov Chains -- 4.7 Examples -- 4.8 A Non-linear Perron-Frobenius Theorem, and Ergodicity -- 4.9 Conclusion -- References -- 5 Statistics with Imprecise Probabilities-A Short Survey -- 5.1 Introduction -- 5.2 Some Elementary Background on Imprecise Probabilities -- 5.3 Types of Imprecision in Statistical Modelling -- 5.4 Statistical Modelling Under Model Imprecision. 5.4.1 Probabilistic Assumptions on the Sampling Model Matter: Frequentist Statistics and Imprecise Probabilities -- 5.4.2 Model Imprecision and Generalized Bayesian Inference -- 5.4.3 Some Other Approaches -- 5.5 Statistical Modelling Under Data Imprecision -- 5.6 Concluding Remarks -- References -- 6 Reliability -- 6.1 Introduction -- 6.2 System Reliability Methods -- 6.2.1 Fault Tree Analysis -- 6.2.2 Fault Tree Extensions: Common Cause Failures -- 6.2.3 Phased Mission Analysis -- 6.3 Basic Statistical Concepts and Methods for Reliability Data -- 6.4 Statistical Models for Reliability Data -- 6.5 Stochastic Processes in Reliability-Models and Inference -- 7 Simulation Methods for the Analysis of Complex Systems -- 7.1 Introduction -- 7.2 Reliability Modelling of Systems and Networks -- 7.2.1 Traditional Approaches -- 7.2.2 Interdependencies in Complex Systems -- 7.3 Load Flow Simulation -- 7.3.1 Simulation of Interdependent and Reconfigurable Systems -- 7.3.2 Maintenance Strategy Optimization -- 7.3.3 Case Study: Station Blackout Risk Assessment -- 7.4 Survival Signature Simulation -- 7.4.1 Systems with Imprecision -- 7.4.2 Case Study: Industrial Water Supply System -- 7.5 Final Remarks -- References -- 8 Overview of Stochastic Model Updating in Aerospace Application Under Uncertainty Treatment -- 8.1 Introduction -- 8.2 Overview of the State of the Art: Deterministic or Stochastic? -- 8.3 Overall Technique Route of Stochastic Model Updating -- 8.3.1 Feature Extraction -- 8.3.2 Parameter Selection -- 8.3.3 Surrogate Modelling -- 8.3.4 Test Analysis Correlation: Uncertainty Quantification Metrics -- 8.3.5 Model Adjustment and Validation -- 8.4 Uncertainty Treatment in Parameter Calibration -- 8.4.1 The Bayesian Updating Framework -- 8.4.2 A Novel Uncertainty Quantification Metric -- 8.5 Example: The NASA UQ Challenge. 8.6 Conclusions and Prospects -- References -- 9 Aerospace Flight Modeling and Experimental Testing -- 9.1 Introduction -- 9.2 Aerospace Flights and Planetary Re-entry -- 9.3 Similitude Approach for Hypersonic Flows -- 9.3.1 Inviscid Hypersonics -- 9.3.2 Viscous Hypersonics -- 9.3.3 High-Temperature Hypersonics -- 9.4 Duplication of Dissociated Boundary Layer with Surface Reaction -- 9.5 Considering Flow Radiation -- 9.6 Ground Testing Strategy for High-Speed Re-entry -- 9.7 Conclusion -- References. Description based on publisher supplied metadata and other sources. Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. Electronic books. Coolen, Frank P. A. De Bock, Jasper. Print version: Aslett, Louis J. M. Uncertainty in Engineering Cham : Springer International Publishing AG,c2021 9783030836399 ProQuest (Firm) https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6824949 Click to View |
language |
English |
format |
eBook |
author |
Aslett, Louis J. M. |
spellingShingle |
Aslett, Louis J. M. Uncertainty in Engineering : Introduction to Methods and Applications. SpringerBriefs in Statistics Series Intro -- Preface -- Contents -- 1 Introduction to Bayesian Statistical Inference -- 1.1 Introduction -- 1.2 Specification of the Prior -- 1.2.1 Conjugate Priors -- 1.3 Point Estimation -- 1.4 Credible Sets -- 1.5 Hypothesis Test -- 1.5.1 Model Selection -- References -- 2 Sampling from Complex Probability Distributions: A Monte Carlo Primer for Engineers -- 2.1 Motivation -- 2.1.1 Generality of Expectations -- 2.1.2 Why Consider Monte Carlo? -- 2.2 Monte Carlo Estimators -- 2.3 Simple Monte Carlo Sampling Methods -- 2.3.1 Inverse Sampling -- 2.3.2 Rejection Sampling -- 2.3.3 Importance Sampling -- 2.4 Further Reading -- References -- 3 Introduction to the Theory of Imprecise Probability -- 3.1 Introduction -- 3.2 Fundamental Concepts -- 3.2.1 Basic Concepts -- 3.2.2 Coherence -- 3.3 Previsions and Probabilities -- 3.3.1 Previsions as Prices for Gambles -- 3.3.2 Probabilities as Previsions of Indicator Gambles -- 3.3.3 Assessments of Lower Previsions -- 3.3.4 Working on Linear Spaces of Gambles -- 3.4 Sets of Probabilities -- 3.4.1 From Lower Previsions to Credal Sets -- 3.4.2 From Credal Sets to Lower Previsions -- 3.5 Basics of Conditioning -- 3.6 Remarks About Infinite Possibility Spaces -- 3.7 Conclusion -- References -- 4 Imprecise Discrete-Time Markov Chains -- 4.1 Introduction -- 4.2 Precise Probability Models -- 4.3 Imprecise Probability Models -- 4.4 Discrete-Time Uncertain Processes -- 4.5 Imprecise Probability Trees -- 4.6 Imprecise Markov Chains -- 4.7 Examples -- 4.8 A Non-linear Perron-Frobenius Theorem, and Ergodicity -- 4.9 Conclusion -- References -- 5 Statistics with Imprecise Probabilities-A Short Survey -- 5.1 Introduction -- 5.2 Some Elementary Background on Imprecise Probabilities -- 5.3 Types of Imprecision in Statistical Modelling -- 5.4 Statistical Modelling Under Model Imprecision. 5.4.1 Probabilistic Assumptions on the Sampling Model Matter: Frequentist Statistics and Imprecise Probabilities -- 5.4.2 Model Imprecision and Generalized Bayesian Inference -- 5.4.3 Some Other Approaches -- 5.5 Statistical Modelling Under Data Imprecision -- 5.6 Concluding Remarks -- References -- 6 Reliability -- 6.1 Introduction -- 6.2 System Reliability Methods -- 6.2.1 Fault Tree Analysis -- 6.2.2 Fault Tree Extensions: Common Cause Failures -- 6.2.3 Phased Mission Analysis -- 6.3 Basic Statistical Concepts and Methods for Reliability Data -- 6.4 Statistical Models for Reliability Data -- 6.5 Stochastic Processes in Reliability-Models and Inference -- 7 Simulation Methods for the Analysis of Complex Systems -- 7.1 Introduction -- 7.2 Reliability Modelling of Systems and Networks -- 7.2.1 Traditional Approaches -- 7.2.2 Interdependencies in Complex Systems -- 7.3 Load Flow Simulation -- 7.3.1 Simulation of Interdependent and Reconfigurable Systems -- 7.3.2 Maintenance Strategy Optimization -- 7.3.3 Case Study: Station Blackout Risk Assessment -- 7.4 Survival Signature Simulation -- 7.4.1 Systems with Imprecision -- 7.4.2 Case Study: Industrial Water Supply System -- 7.5 Final Remarks -- References -- 8 Overview of Stochastic Model Updating in Aerospace Application Under Uncertainty Treatment -- 8.1 Introduction -- 8.2 Overview of the State of the Art: Deterministic or Stochastic? -- 8.3 Overall Technique Route of Stochastic Model Updating -- 8.3.1 Feature Extraction -- 8.3.2 Parameter Selection -- 8.3.3 Surrogate Modelling -- 8.3.4 Test Analysis Correlation: Uncertainty Quantification Metrics -- 8.3.5 Model Adjustment and Validation -- 8.4 Uncertainty Treatment in Parameter Calibration -- 8.4.1 The Bayesian Updating Framework -- 8.4.2 A Novel Uncertainty Quantification Metric -- 8.5 Example: The NASA UQ Challenge. 8.6 Conclusions and Prospects -- References -- 9 Aerospace Flight Modeling and Experimental Testing -- 9.1 Introduction -- 9.2 Aerospace Flights and Planetary Re-entry -- 9.3 Similitude Approach for Hypersonic Flows -- 9.3.1 Inviscid Hypersonics -- 9.3.2 Viscous Hypersonics -- 9.3.3 High-Temperature Hypersonics -- 9.4 Duplication of Dissociated Boundary Layer with Surface Reaction -- 9.5 Considering Flow Radiation -- 9.6 Ground Testing Strategy for High-Speed Re-entry -- 9.7 Conclusion -- References. |
author_facet |
Aslett, Louis J. M. Coolen, Frank P. A. De Bock, Jasper. |
author_variant |
l j m a ljm ljma |
author2 |
Coolen, Frank P. A. De Bock, Jasper. |
author2_variant |
f p a c fpa fpac b j d bj bjd |
author2_role |
TeilnehmendeR TeilnehmendeR |
author_sort |
Aslett, Louis J. M. |
title |
Uncertainty in Engineering : Introduction to Methods and Applications. |
title_sub |
Introduction to Methods and Applications. |
title_full |
Uncertainty in Engineering : Introduction to Methods and Applications. |
title_fullStr |
Uncertainty in Engineering : Introduction to Methods and Applications. |
title_full_unstemmed |
Uncertainty in Engineering : Introduction to Methods and Applications. |
title_auth |
Uncertainty in Engineering : Introduction to Methods and Applications. |
title_new |
Uncertainty in Engineering : |
title_sort |
uncertainty in engineering : introduction to methods and applications. |
series |
SpringerBriefs in Statistics Series |
series2 |
SpringerBriefs in Statistics Series |
publisher |
Springer International Publishing AG, |
publishDate |
2021 |
physical |
1 online resource (148 pages) |
edition |
1st ed. |
contents |
Intro -- Preface -- Contents -- 1 Introduction to Bayesian Statistical Inference -- 1.1 Introduction -- 1.2 Specification of the Prior -- 1.2.1 Conjugate Priors -- 1.3 Point Estimation -- 1.4 Credible Sets -- 1.5 Hypothesis Test -- 1.5.1 Model Selection -- References -- 2 Sampling from Complex Probability Distributions: A Monte Carlo Primer for Engineers -- 2.1 Motivation -- 2.1.1 Generality of Expectations -- 2.1.2 Why Consider Monte Carlo? -- 2.2 Monte Carlo Estimators -- 2.3 Simple Monte Carlo Sampling Methods -- 2.3.1 Inverse Sampling -- 2.3.2 Rejection Sampling -- 2.3.3 Importance Sampling -- 2.4 Further Reading -- References -- 3 Introduction to the Theory of Imprecise Probability -- 3.1 Introduction -- 3.2 Fundamental Concepts -- 3.2.1 Basic Concepts -- 3.2.2 Coherence -- 3.3 Previsions and Probabilities -- 3.3.1 Previsions as Prices for Gambles -- 3.3.2 Probabilities as Previsions of Indicator Gambles -- 3.3.3 Assessments of Lower Previsions -- 3.3.4 Working on Linear Spaces of Gambles -- 3.4 Sets of Probabilities -- 3.4.1 From Lower Previsions to Credal Sets -- 3.4.2 From Credal Sets to Lower Previsions -- 3.5 Basics of Conditioning -- 3.6 Remarks About Infinite Possibility Spaces -- 3.7 Conclusion -- References -- 4 Imprecise Discrete-Time Markov Chains -- 4.1 Introduction -- 4.2 Precise Probability Models -- 4.3 Imprecise Probability Models -- 4.4 Discrete-Time Uncertain Processes -- 4.5 Imprecise Probability Trees -- 4.6 Imprecise Markov Chains -- 4.7 Examples -- 4.8 A Non-linear Perron-Frobenius Theorem, and Ergodicity -- 4.9 Conclusion -- References -- 5 Statistics with Imprecise Probabilities-A Short Survey -- 5.1 Introduction -- 5.2 Some Elementary Background on Imprecise Probabilities -- 5.3 Types of Imprecision in Statistical Modelling -- 5.4 Statistical Modelling Under Model Imprecision. 5.4.1 Probabilistic Assumptions on the Sampling Model Matter: Frequentist Statistics and Imprecise Probabilities -- 5.4.2 Model Imprecision and Generalized Bayesian Inference -- 5.4.3 Some Other Approaches -- 5.5 Statistical Modelling Under Data Imprecision -- 5.6 Concluding Remarks -- References -- 6 Reliability -- 6.1 Introduction -- 6.2 System Reliability Methods -- 6.2.1 Fault Tree Analysis -- 6.2.2 Fault Tree Extensions: Common Cause Failures -- 6.2.3 Phased Mission Analysis -- 6.3 Basic Statistical Concepts and Methods for Reliability Data -- 6.4 Statistical Models for Reliability Data -- 6.5 Stochastic Processes in Reliability-Models and Inference -- 7 Simulation Methods for the Analysis of Complex Systems -- 7.1 Introduction -- 7.2 Reliability Modelling of Systems and Networks -- 7.2.1 Traditional Approaches -- 7.2.2 Interdependencies in Complex Systems -- 7.3 Load Flow Simulation -- 7.3.1 Simulation of Interdependent and Reconfigurable Systems -- 7.3.2 Maintenance Strategy Optimization -- 7.3.3 Case Study: Station Blackout Risk Assessment -- 7.4 Survival Signature Simulation -- 7.4.1 Systems with Imprecision -- 7.4.2 Case Study: Industrial Water Supply System -- 7.5 Final Remarks -- References -- 8 Overview of Stochastic Model Updating in Aerospace Application Under Uncertainty Treatment -- 8.1 Introduction -- 8.2 Overview of the State of the Art: Deterministic or Stochastic? -- 8.3 Overall Technique Route of Stochastic Model Updating -- 8.3.1 Feature Extraction -- 8.3.2 Parameter Selection -- 8.3.3 Surrogate Modelling -- 8.3.4 Test Analysis Correlation: Uncertainty Quantification Metrics -- 8.3.5 Model Adjustment and Validation -- 8.4 Uncertainty Treatment in Parameter Calibration -- 8.4.1 The Bayesian Updating Framework -- 8.4.2 A Novel Uncertainty Quantification Metric -- 8.5 Example: The NASA UQ Challenge. 8.6 Conclusions and Prospects -- References -- 9 Aerospace Flight Modeling and Experimental Testing -- 9.1 Introduction -- 9.2 Aerospace Flights and Planetary Re-entry -- 9.3 Similitude Approach for Hypersonic Flows -- 9.3.1 Inviscid Hypersonics -- 9.3.2 Viscous Hypersonics -- 9.3.3 High-Temperature Hypersonics -- 9.4 Duplication of Dissociated Boundary Layer with Surface Reaction -- 9.5 Considering Flow Radiation -- 9.6 Ground Testing Strategy for High-Speed Re-entry -- 9.7 Conclusion -- References. |
isbn |
9783030836405 9783030836399 |
callnumber-first |
Q - Science |
callnumber-subject |
QA - Mathematics |
callnumber-label |
QA276-280 |
callnumber-sort |
QA 3276 3280 |
genre |
Electronic books. |
genre_facet |
Electronic books. |
url |
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6824949 |
illustrated |
Not Illustrated |
oclc_num |
1290485018 |
work_keys_str_mv |
AT aslettlouisjm uncertaintyinengineeringintroductiontomethodsandapplications AT coolenfrankpa uncertaintyinengineeringintroductiontomethodsandapplications AT debockjasper uncertaintyinengineeringintroductiontomethodsandapplications |
status_str |
n |
ids_txt_mv |
(MiAaPQ)5006824949 (Au-PeEL)EBL6824949 (OCoLC)1290485018 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
SpringerBriefs in Statistics Series |
is_hierarchy_title |
Uncertainty in Engineering : Introduction to Methods and Applications. |
container_title |
SpringerBriefs in Statistics Series |
author2_original_writing_str_mv |
noLinkedField noLinkedField |
marc_error |
Info : Unimarc and ISO-8859-1 translations identical, choosing ISO-8859-1. --- [ 856 : z ] |
_version_ |
1792331061134360577 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>05893nam a22004453i 4500</leader><controlfield tag="001">5006824949</controlfield><controlfield tag="003">MiAaPQ</controlfield><controlfield tag="005">20240229073845.0</controlfield><controlfield tag="006">m o d | </controlfield><controlfield tag="007">cr cnu||||||||</controlfield><controlfield tag="008">240229s2021 xx o ||||0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783030836405</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9783030836399</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)5006824949</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL6824949</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1290485018</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">MiAaPQ</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">MiAaPQ</subfield><subfield code="d">MiAaPQ</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA276-280</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Aslett, Louis J. M.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Uncertainty in Engineering :</subfield><subfield code="b">Introduction to Methods and Applications.</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham :</subfield><subfield code="b">Springer International Publishing AG,</subfield><subfield code="c">2021.</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">Ã2022.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (148 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">SpringerBriefs in Statistics Series</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Intro -- Preface -- Contents -- 1 Introduction to Bayesian Statistical Inference -- 1.1 Introduction -- 1.2 Specification of the Prior -- 1.2.1 Conjugate Priors -- 1.3 Point Estimation -- 1.4 Credible Sets -- 1.5 Hypothesis Test -- 1.5.1 Model Selection -- References -- 2 Sampling from Complex Probability Distributions: A Monte Carlo Primer for Engineers -- 2.1 Motivation -- 2.1.1 Generality of Expectations -- 2.1.2 Why Consider Monte Carlo? -- 2.2 Monte Carlo Estimators -- 2.3 Simple Monte Carlo Sampling Methods -- 2.3.1 Inverse Sampling -- 2.3.2 Rejection Sampling -- 2.3.3 Importance Sampling -- 2.4 Further Reading -- References -- 3 Introduction to the Theory of Imprecise Probability -- 3.1 Introduction -- 3.2 Fundamental Concepts -- 3.2.1 Basic Concepts -- 3.2.2 Coherence -- 3.3 Previsions and Probabilities -- 3.3.1 Previsions as Prices for Gambles -- 3.3.2 Probabilities as Previsions of Indicator Gambles -- 3.3.3 Assessments of Lower Previsions -- 3.3.4 Working on Linear Spaces of Gambles -- 3.4 Sets of Probabilities -- 3.4.1 From Lower Previsions to Credal Sets -- 3.4.2 From Credal Sets to Lower Previsions -- 3.5 Basics of Conditioning -- 3.6 Remarks About Infinite Possibility Spaces -- 3.7 Conclusion -- References -- 4 Imprecise Discrete-Time Markov Chains -- 4.1 Introduction -- 4.2 Precise Probability Models -- 4.3 Imprecise Probability Models -- 4.4 Discrete-Time Uncertain Processes -- 4.5 Imprecise Probability Trees -- 4.6 Imprecise Markov Chains -- 4.7 Examples -- 4.8 A Non-linear Perron-Frobenius Theorem, and Ergodicity -- 4.9 Conclusion -- References -- 5 Statistics with Imprecise Probabilities-A Short Survey -- 5.1 Introduction -- 5.2 Some Elementary Background on Imprecise Probabilities -- 5.3 Types of Imprecision in Statistical Modelling -- 5.4 Statistical Modelling Under Model Imprecision.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">5.4.1 Probabilistic Assumptions on the Sampling Model Matter: Frequentist Statistics and Imprecise Probabilities -- 5.4.2 Model Imprecision and Generalized Bayesian Inference -- 5.4.3 Some Other Approaches -- 5.5 Statistical Modelling Under Data Imprecision -- 5.6 Concluding Remarks -- References -- 6 Reliability -- 6.1 Introduction -- 6.2 System Reliability Methods -- 6.2.1 Fault Tree Analysis -- 6.2.2 Fault Tree Extensions: Common Cause Failures -- 6.2.3 Phased Mission Analysis -- 6.3 Basic Statistical Concepts and Methods for Reliability Data -- 6.4 Statistical Models for Reliability Data -- 6.5 Stochastic Processes in Reliability-Models and Inference -- 7 Simulation Methods for the Analysis of Complex Systems -- 7.1 Introduction -- 7.2 Reliability Modelling of Systems and Networks -- 7.2.1 Traditional Approaches -- 7.2.2 Interdependencies in Complex Systems -- 7.3 Load Flow Simulation -- 7.3.1 Simulation of Interdependent and Reconfigurable Systems -- 7.3.2 Maintenance Strategy Optimization -- 7.3.3 Case Study: Station Blackout Risk Assessment -- 7.4 Survival Signature Simulation -- 7.4.1 Systems with Imprecision -- 7.4.2 Case Study: Industrial Water Supply System -- 7.5 Final Remarks -- References -- 8 Overview of Stochastic Model Updating in Aerospace Application Under Uncertainty Treatment -- 8.1 Introduction -- 8.2 Overview of the State of the Art: Deterministic or Stochastic? -- 8.3 Overall Technique Route of Stochastic Model Updating -- 8.3.1 Feature Extraction -- 8.3.2 Parameter Selection -- 8.3.3 Surrogate Modelling -- 8.3.4 Test Analysis Correlation: Uncertainty Quantification Metrics -- 8.3.5 Model Adjustment and Validation -- 8.4 Uncertainty Treatment in Parameter Calibration -- 8.4.1 The Bayesian Updating Framework -- 8.4.2 A Novel Uncertainty Quantification Metric -- 8.5 Example: The NASA UQ Challenge.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">8.6 Conclusions and Prospects -- References -- 9 Aerospace Flight Modeling and Experimental Testing -- 9.1 Introduction -- 9.2 Aerospace Flights and Planetary Re-entry -- 9.3 Similitude Approach for Hypersonic Flows -- 9.3.1 Inviscid Hypersonics -- 9.3.2 Viscous Hypersonics -- 9.3.3 High-Temperature Hypersonics -- 9.4 Duplication of Dissociated Boundary Layer with Surface Reaction -- 9.5 Considering Flow Radiation -- 9.6 Ground Testing Strategy for High-Speed Re-entry -- 9.7 Conclusion -- References.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources.</subfield></datafield><datafield tag="590" ind1=" " ind2=" "><subfield code="a">Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. </subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Coolen, Frank P. A.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">De Bock, Jasper.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Aslett, Louis J. M.</subfield><subfield code="t">Uncertainty in Engineering</subfield><subfield code="d">Cham : Springer International Publishing AG,c2021</subfield><subfield code="z">9783030836399</subfield></datafield><datafield tag="797" ind1="2" ind2=" "><subfield code="a">ProQuest (Firm)</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">SpringerBriefs in Statistics Series</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6824949</subfield><subfield code="z">Click to View</subfield></datafield></record></collection> |