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ŠMÍDOVÁ, M.; VOŘECHOVSKÝ, M.
Originální název
Performance of Various Sampling Schemes in Asymptotic Sampling
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
This article deals with the possibility to use Asymptotic Sampling (AS) for estimation of failure probability. The AS algorithm requires samples of multidimensional Gaussian random vector. There are many alternatives how to obtain such a sample and the selection of sampling strategy influences the performance of the AS method. Several reliability problems (testing functions) are selected to test AS with various sampling schemes. First, the functions are analyzed using AS in combination with (i) Monte Carlo designs, (ii) LHS designs optimized using Periodic Audze-Eglājs (PAE) criterion and, (iii) designs prepared using Sobol sequences. Afterwards, the same set of problems has been solved without the AS procedure by direct estimation of failure probability. All the results are also compared with the exact value of the failure probability.
Anglický abstrakt
Klíčová slova
Failure probability; Asymptotic Sampling; Monte Carlo (MC); Latin Hypercube Sampling (LHS); Quasi Monte Carlo (QMC)
Klíčová slova v angličtině
Autoři
Rok RIV
2017
Vydáno
05.12.2016
Nakladatel
Springer International Publishing AG 2017
Místo
Ghent
ISBN
978-3-319-47885-2
Kniha
14th International Probabilistic Workshop
Strany od
45
Strany do
61
Strany počet
17
BibTex
@inproceedings{BUT133092, author="Magdalena {Martinásková} and Miroslav {Vořechovský}", title="Performance of Various Sampling Schemes in Asymptotic Sampling", booktitle="14th International Probabilistic Workshop", year="2016", pages="45--61", publisher="Springer International Publishing AG 2017", address="Ghent", doi="10.1007/978-3-319-47886-9", isbn="978-3-319-47885-2" }