Principles for uncertainty assessment in kernel smoothing estimations

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F19%3A00536953" target="_blank" >RIV/60162694:G43__/19:00536953 - isvavai.cz</a>
Result on the web
<a href="https://www.eccomasproceedia.org/conferences/thematic-conferences/uncecomp-2019" target="_blank" >https://www.eccomasproceedia.org/conferences/thematic-conferences/uncecomp-2019</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.7712/120219" target="_blank" >10.7712/120219</a>

Result language
angličtina
Original language name
Principles for uncertainty assessment in kernel smoothing estimations
Original language description
In this article, we present application of kernel smoothing estimation and bootstrap on real data. We possess statistically significant data set from experiments performed on composite materials. These data form a random sample of observed variable. Probability distribution function (pdf) of such observed variable is estimated using kernel smoothing approach and bootstrap. This estimation depends on a bandwidth of kernel smoother which is defined using both reference density method and our empirical data. Parameters of typical parametric distributions are also estimated from the same empirical data set. We apply methods such as mean square error (MSE) and integrated square error (ISE) to address the uncertainty and vagueness in pdf estimated by kernel smoothing.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Uncecomp 2019 Uncertainty Quantification in Computational Sciences and Engineering
ISBN
978-618-82844-9-4
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
675-682
Publisher name
National Technical University of Athens
Place of publication
Crete
Event location
Crete, Greece
Event date
Jun 24, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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