Surrogate models for uncertainty quantification in the context of imprecise probability modelling

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Author
Schöbi, Roland
Date
2017
Type
    Doctoral Thesis
Rights / license
In Copyright - Non-Commercial Use Permitted
Permanent link
https://doi.org/10.3929/ethz-a-010870825
Publication status
published
External links
Search print copy at ETH Library
Contributors
Examiner: Beer, Michael
Examiner: Sudret, Brunocc
Publisher
ETH Zürich
Subject
SELTENE EREIGNISSE (WAHRSCHEINLICHKEITSRECHNUNG); ZUVERLÄSSIGKEIT (STOCHASTISCHE MODELLE); RELIABILITY (STOCHASTIC MODELS); FEHLERMODELLE (WAHRSCHEINLICHKEITSRECHNUNG); INCOMPLETE DATA AND MISSING DATA (MATHEMATICAL STATISTICS); UNVOLLSTÄNDIGE DATEN UND FEHLENDE DATEN (MATHEMATISCHE STATISTIK); ERROR MODELS (PROBABILITY THEORY); COMPUTERSIMULATION; RARE EVENTS (PROBABILITY THEORY); COMPUTER SIMULATION
Organisational unit
02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.
03962 - Sudret, Bruno / Sudret, Bruno  
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