Introduction to Imprecise Probabilities

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F21%3A10246765" target="_blank" >RIV/61989100:27240/21:10246765 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-60166-9_2" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-60166-9_2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-60166-9_2" target="_blank" >10.1007/978-3-030-60166-9_2</a>

Result language
angličtina
Original language name
Introduction to Imprecise Probabilities
Original language description
Since uncertainty is persistent in engineering analyses, this chapter aimed to introduce methods to describe and reason with under uncertainty in various scenarios. Probability theory is the most widely used methodology for uncertainty quantification for a long time and has proven to be a powerful tool for this task. Nevertheless, the construction of stochastic models relies on very fine information, such as large amount of observations, which is not always available. Without it, the constructed models are only very rough approximations of the real laws and may cause incorrect decisions. In this chapter, we introduce other types of models, based on the theory of imprecise probability, which we are able to construct and reason with under situations with limited available knowledge.
Czech name
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Czech description
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Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name
Optimization Under Uncertainty with Applications to Aerospace Engineering
ISBN
978-3-030-60165-2
Number of pages of the result
44
Pages from-to
35-79
Number of pages of the book
573
Publisher name
Springer, Cham
Place of publication
unknown
UT code for WoS chapter
—

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