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EBOOKCENTRAL_ocn847727849 |
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OCoLC |
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20240329122006.0 |
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m o d |
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121116s2007 li ob 001 0 eng d |
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|a E7B
|b eng
|e pn
|c E7B
|d OCLCO
|d OCLCF
|d OCLCQ
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|d OCLCQ
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|d MOR
|d CCO
|d PIFAG
|d ZCU
|d MERUC
|d OCLCQ
|d U3W
|d WRM
|d STF
|d NRAMU
|d EZ9
|d ICG
|d VT2
|d AU@
|d OCLCQ
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| 019 |
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|a 961607555
|a 962659444
|a 1058166027
|a 1065713665
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| 020 |
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|z 9789955281405
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| 029 |
1 |
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|a AU@
|b 000053033488
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| 029 |
1 |
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|a DEBBG
|b BV044059931
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| 029 |
1 |
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|a NZ1
|b 15344107
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| 035 |
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|a (OCoLC)847727849
|z (OCoLC)961607555
|z (OCoLC)962659444
|z (OCoLC)1058166027
|z (OCoLC)1065713665
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| 050 |
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4 |
|a TH441
|b .V34 2007eb
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| 049 |
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|a UAMI
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| 100 |
1 |
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|a Vaidogas, Egidijus R.
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| 245 |
1 |
0 |
|a Prediction of accidental actions likely to occur on building structures :
|b an approach based on stochastic simulation /
|c Egidijus R. Vaidogas.
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| 260 |
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|a Vilnius :
|b VGTU,
|c Ã2007.
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| 300 |
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|a 1 online resource (247 pages)
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 504 |
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|a Includes bibliographical references and index.
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0 |
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|a Preface; Part I. The problem of accidental actions; 1. Current practice of description and prediction; 1.1 Industrial accidents & accidental actions; 1.2 Accidental actions: definition and classification; 1.3 Current practice of deterministic modelling accidental actions; 1.4 Knowledge available for selecting action models; 1.5 Principal probabilistic model of accidental action; 1.6 Classical statistical approach to modelling accidental actions; 1.7 Conclusion: the need of risk analysis for predicting accidental actions
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| 505 |
8 |
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|a 2. A brief overview of the situation of data related to accidental actions2.1 The need for diverse information; 2.2 Accident data; 2.3 Data on human reliability; 2.4 Concluding remarks; Part II. Prediction by means of stochastic accident simulation; 3. Classical bayesien approach to predicting accidental actions; 3.1 Introduction; 3.2 Form of action model; 3.3 Selection of action model; 3.4 Case study; 3.5 Expert judgment in Bayesian predicting accidental actions; 3.6 How to apply classical Bayesian action models to damage assessment?
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|a 3.7 Conclusion: pros and cons of the classical Bayesian approach4. Predictive, epistemic approach to forecasting accidental actions; 4.1 Introduction; 4.2 Principles of application to accidental actions; 4.3 Form of action model; 4.4 Specifying the action model by a stochastic accident simulation; 4.5 Case study; 4.6 Quantifying epistemic uncertainties related to problem input; 4.7 Application to damage assessment; 4.8 Conclusion: pros and cons of the predictive epistemic approach; Part III. Utilising direct data on accidental actions; 5. Resampling direct data within frequentist's approach
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|a 5.1 Introduction5.2 Risk of damage due to accidental action; 5.3 Damage assessment: frequentist's approach or Bayesian updating?; 5.4 Use of bootstrap resampling to estimating damage probabilities; 5.5 Case study; 5.6 Concluding remarks; 6. Bayesian resampling of direct data on an accidental action; 6.1 Introduction; 6.2 Basic ideas; 6.3 Knowledge available for estimating damage probability; 6.4 Application of Bayesian bootstrap; 6.5 Case study; 6.6 Concluding remarks; Postscript; Appendix A. Abbreviations; Appendix B. Novation; Appendix C. Compiuter programs
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| 505 |
8 |
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|a Appendix D. Selected bibliographyReferences; Index
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| 590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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| 650 |
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0 |
|a Building failures.
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| 650 |
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0 |
|a Loads (Mechanics)
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| 650 |
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|a Structural failures.
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| 650 |
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6 |
|a Constructions
|x Effondrement.
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| 650 |
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6 |
|a Charges.
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| 650 |
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7 |
|a structural failures.
|2 aat
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| 650 |
|
7 |
|a building failures.
|2 aat
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| 650 |
|
7 |
|a Structural failures
|2 fast
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| 650 |
|
7 |
|a Building failures
|2 fast
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| 650 |
|
7 |
|a Loads (Mechanics)
|2 fast
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| 856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4388511
|z Texto completo
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| 938 |
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|a EBL - Ebook Library
|b EBLB
|n EBL4388511
|
| 938 |
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|a ebrary
|b EBRY
|n ebr10621766
|
| 994 |
|
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|a 92
|b IZTAP
|
