The Resource Uncertainty in Risk Assessment : The Representation and Treatment of Uncertainties by Probabilistic and NonProbabilistic Methods, (electronic book)
Uncertainty in Risk Assessment : The Representation and Treatment of Uncertainties by Probabilistic and NonProbabilistic Methods, (electronic book)
Resource Information
The item Uncertainty in Risk Assessment : The Representation and Treatment of Uncertainties by Probabilistic and NonProbabilistic Methods, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item Uncertainty in Risk Assessment : The Representation and Treatment of Uncertainties by Probabilistic and NonProbabilistic Methods, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.
This item is available to borrow from 1 library branch.
 Summary
 Explores methods for the representation and treatment of uncertainty in risk assessment In providing guidance for practical decisionmaking situations concerning highconsequence technologies (e.g., nuclear, oil and gas, transport, etc.), the theories and methods studied in Uncertainty in Risk Assessment have wideranging applications from engineering and medicine to environmental impacts and natural disasters, security, and financial risk management. The main focus, however, is on engineering applications. While requiring some fundamental background in risk assessment, as well as a basic k
 Language
 eng
 Extent
 1 online resource (198 p.)
 Contents

 Uncertainty in Risk Assessment: The Representation and Treatment of Uncertainties by Probabilistic and NonProbabilistic Methods; Contents; Preface; Part I: Introduction; 1 Introduction; 1.1 Risk; 1.1.1 The concept of risk; 1.1.2 Describing/measuring risk; 1.1.3 Examples; 1.2 Probabilistic risk assessment; 1.3 Use of risk assessment: The risk management and decisionmaking context; 1.4 Treatment of uncertainties in risk assessments; 1.5 Challenges: Discussion; 1.5.1 Examples; 1.5.2 Alternatives to the probabilitybased approaches to risk and uncertainty assessment; 1.5.3 The way ahead
 References  Part IPart II: Methods; 2 Probabilistic approaches for treating uncertainty; 2.1 Classical probabilities; 2.2 Frequentist probabilities; 2.3 Subjective probabilities; 2.3.1 Betting interpretation; 2.3.2 Reference to a standard for uncertainty; 2.4 The Bayesian subjective probability framework; 2.5 Logical probabilities; 3 Imprecise probabilities for treating uncertainty; 4 Possibility theory for treating uncertainty; 4.1 Basics of possibility theory; 4.2 Approaches for constructing possibility distributions
 4.2.1 Building possibility distributions from nested probability intervals4.2.2 Justification for using the triangular possibility distribution; 4.2.3 Building possibility distributions using Chebyshev's inequality; 5 Evidence theory for treating uncertainty; 6 Methods of uncertainty propagation; 6.1 Level 1 uncertainty propagation setting; 6.1.1 Level 1 purely probabilistic framework; 6.1.2 Level 1 purely possibilistic framework; 6.1.3 Level 1 hybrid probabilisticpossibilistic framework; 6.2 Level 2 uncertainty propagation setting; 6.2.1 Level 2 purely probabilistic framework
 6.2.2 Level 2 hybrid probabilisticevidence theory framework7 Discussion; 7.1 Probabilistic analysis; 7.2 Lower and upper probabilities; 7.3 Nonprobabilistic representations with interpretations other than lower and upper probabilities; 7.4 Hybrid representations of uncertainty; 7.5 Semiquantitative approaches; References  Part II; Part III: Practical Applications; 8 Uncertainty representation and propagation in structural reliability analysis; 8.1 Structural reliability analysis; 8.1.1 A model of crack propagation under cyclic fatigue; 8.2 Case study; 8.3 Uncertainty representation
 8.4 Uncertainty propagation8.5 Results; 8.6 Comparison to a purely probabilistic method; 9 Uncertainty representation and propagation in maintenance performance assessment; 9.1 Maintenance performance assessment; 9.2 Case study; 9.3 Uncertainty representation; 9.4 Uncertainty propagation; 9.4.1 Maintenance performance assessment in the case of no epistemic uncertainty on the parameters; 9.4.2 Application of the hybrid probabilistictheory of evidence uncertainty propagation method; 9.5 Results; 10 Uncertainty representation and propagation in event tree analysis; 10.1 Event tree analysis
 10.2 Case study
 Isbn
 9781118763056
 Label
 Uncertainty in Risk Assessment : The Representation and Treatment of Uncertainties by Probabilistic and NonProbabilistic Methods
 Title
 Uncertainty in Risk Assessment
 Title remainder
 The Representation and Treatment of Uncertainties by Probabilistic and NonProbabilistic Methods
 Language
 eng
 Summary
 Explores methods for the representation and treatment of uncertainty in risk assessment In providing guidance for practical decisionmaking situations concerning highconsequence technologies (e.g., nuclear, oil and gas, transport, etc.), the theories and methods studied in Uncertainty in Risk Assessment have wideranging applications from engineering and medicine to environmental impacts and natural disasters, security, and financial risk management. The main focus, however, is on engineering applications. While requiring some fundamental background in risk assessment, as well as a basic k
 Cataloging source
 AUPeEL
 http://library.link/vocab/creatorName
 Aven, Terje
 Dewey number
 338.5
 LC call number
 HD61
 Nature of contents
 dictionaries
 http://library.link/vocab/relatedWorkOrContributorName

 Zio, Enrico
 Baraldi, Piero
 Flage, Roger
 http://library.link/vocab/subjectName

 Mathematics
 Probabilities
 Risk assessment
 Label
 Uncertainty in Risk Assessment : The Representation and Treatment of Uncertainties by Probabilistic and NonProbabilistic Methods, (electronic book)
 Contents

 Uncertainty in Risk Assessment: The Representation and Treatment of Uncertainties by Probabilistic and NonProbabilistic Methods; Contents; Preface; Part I: Introduction; 1 Introduction; 1.1 Risk; 1.1.1 The concept of risk; 1.1.2 Describing/measuring risk; 1.1.3 Examples; 1.2 Probabilistic risk assessment; 1.3 Use of risk assessment: The risk management and decisionmaking context; 1.4 Treatment of uncertainties in risk assessments; 1.5 Challenges: Discussion; 1.5.1 Examples; 1.5.2 Alternatives to the probabilitybased approaches to risk and uncertainty assessment; 1.5.3 The way ahead
 References  Part IPart II: Methods; 2 Probabilistic approaches for treating uncertainty; 2.1 Classical probabilities; 2.2 Frequentist probabilities; 2.3 Subjective probabilities; 2.3.1 Betting interpretation; 2.3.2 Reference to a standard for uncertainty; 2.4 The Bayesian subjective probability framework; 2.5 Logical probabilities; 3 Imprecise probabilities for treating uncertainty; 4 Possibility theory for treating uncertainty; 4.1 Basics of possibility theory; 4.2 Approaches for constructing possibility distributions
 4.2.1 Building possibility distributions from nested probability intervals4.2.2 Justification for using the triangular possibility distribution; 4.2.3 Building possibility distributions using Chebyshev's inequality; 5 Evidence theory for treating uncertainty; 6 Methods of uncertainty propagation; 6.1 Level 1 uncertainty propagation setting; 6.1.1 Level 1 purely probabilistic framework; 6.1.2 Level 1 purely possibilistic framework; 6.1.3 Level 1 hybrid probabilisticpossibilistic framework; 6.2 Level 2 uncertainty propagation setting; 6.2.1 Level 2 purely probabilistic framework
 6.2.2 Level 2 hybrid probabilisticevidence theory framework7 Discussion; 7.1 Probabilistic analysis; 7.2 Lower and upper probabilities; 7.3 Nonprobabilistic representations with interpretations other than lower and upper probabilities; 7.4 Hybrid representations of uncertainty; 7.5 Semiquantitative approaches; References  Part II; Part III: Practical Applications; 8 Uncertainty representation and propagation in structural reliability analysis; 8.1 Structural reliability analysis; 8.1.1 A model of crack propagation under cyclic fatigue; 8.2 Case study; 8.3 Uncertainty representation
 8.4 Uncertainty propagation8.5 Results; 8.6 Comparison to a purely probabilistic method; 9 Uncertainty representation and propagation in maintenance performance assessment; 9.1 Maintenance performance assessment; 9.2 Case study; 9.3 Uncertainty representation; 9.4 Uncertainty propagation; 9.4.1 Maintenance performance assessment in the case of no epistemic uncertainty on the parameters; 9.4.2 Application of the hybrid probabilistictheory of evidence uncertainty propagation method; 9.5 Results; 10 Uncertainty representation and propagation in event tree analysis; 10.1 Event tree analysis
 10.2 Case study
 Control code
 purchEBL1583676
 Dimensions
 unknown
 Extent
 1 online resource (198 p.)
 Form of item
 electronic
 Governing access note
 There is no limit to the number of simultaneous users but there is a limit of 325 uses (cumulative between all users) in each 12 month period, from the date of purchase. Library staff are alerted when the remaining number of uses is low and will decide whether to buy another copy.Printing is restricted to 20% of the total pages of the ebook, per patron. Copying and pasting is restricted to 5% of the total pages of the ebook, per person. However, printing and copy and paste permissions in excess of this may be granted by some publishers
 Isbn
 9781118763056
 Specific material designation
 remote
 Label
 Uncertainty in Risk Assessment : The Representation and Treatment of Uncertainties by Probabilistic and NonProbabilistic Methods, (electronic book)
 Contents

 Uncertainty in Risk Assessment: The Representation and Treatment of Uncertainties by Probabilistic and NonProbabilistic Methods; Contents; Preface; Part I: Introduction; 1 Introduction; 1.1 Risk; 1.1.1 The concept of risk; 1.1.2 Describing/measuring risk; 1.1.3 Examples; 1.2 Probabilistic risk assessment; 1.3 Use of risk assessment: The risk management and decisionmaking context; 1.4 Treatment of uncertainties in risk assessments; 1.5 Challenges: Discussion; 1.5.1 Examples; 1.5.2 Alternatives to the probabilitybased approaches to risk and uncertainty assessment; 1.5.3 The way ahead
 References  Part IPart II: Methods; 2 Probabilistic approaches for treating uncertainty; 2.1 Classical probabilities; 2.2 Frequentist probabilities; 2.3 Subjective probabilities; 2.3.1 Betting interpretation; 2.3.2 Reference to a standard for uncertainty; 2.4 The Bayesian subjective probability framework; 2.5 Logical probabilities; 3 Imprecise probabilities for treating uncertainty; 4 Possibility theory for treating uncertainty; 4.1 Basics of possibility theory; 4.2 Approaches for constructing possibility distributions
 4.2.1 Building possibility distributions from nested probability intervals4.2.2 Justification for using the triangular possibility distribution; 4.2.3 Building possibility distributions using Chebyshev's inequality; 5 Evidence theory for treating uncertainty; 6 Methods of uncertainty propagation; 6.1 Level 1 uncertainty propagation setting; 6.1.1 Level 1 purely probabilistic framework; 6.1.2 Level 1 purely possibilistic framework; 6.1.3 Level 1 hybrid probabilisticpossibilistic framework; 6.2 Level 2 uncertainty propagation setting; 6.2.1 Level 2 purely probabilistic framework
 6.2.2 Level 2 hybrid probabilisticevidence theory framework7 Discussion; 7.1 Probabilistic analysis; 7.2 Lower and upper probabilities; 7.3 Nonprobabilistic representations with interpretations other than lower and upper probabilities; 7.4 Hybrid representations of uncertainty; 7.5 Semiquantitative approaches; References  Part II; Part III: Practical Applications; 8 Uncertainty representation and propagation in structural reliability analysis; 8.1 Structural reliability analysis; 8.1.1 A model of crack propagation under cyclic fatigue; 8.2 Case study; 8.3 Uncertainty representation
 8.4 Uncertainty propagation8.5 Results; 8.6 Comparison to a purely probabilistic method; 9 Uncertainty representation and propagation in maintenance performance assessment; 9.1 Maintenance performance assessment; 9.2 Case study; 9.3 Uncertainty representation; 9.4 Uncertainty propagation; 9.4.1 Maintenance performance assessment in the case of no epistemic uncertainty on the parameters; 9.4.2 Application of the hybrid probabilistictheory of evidence uncertainty propagation method; 9.5 Results; 10 Uncertainty representation and propagation in event tree analysis; 10.1 Event tree analysis
 10.2 Case study
 Control code
 purchEBL1583676
 Dimensions
 unknown
 Extent
 1 online resource (198 p.)
 Form of item
 electronic
 Governing access note
 There is no limit to the number of simultaneous users but there is a limit of 325 uses (cumulative between all users) in each 12 month period, from the date of purchase. Library staff are alerted when the remaining number of uses is low and will decide whether to buy another copy.Printing is restricted to 20% of the total pages of the ebook, per patron. Copying and pasting is restricted to 5% of the total pages of the ebook, per person. However, printing and copy and paste permissions in excess of this may be granted by some publishers
 Isbn
 9781118763056
 Specific material designation
 remote
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