The comparison of algorithms for the automatic detection of outliers in environmental data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F19%3A43915946" target="_blank" >RIV/62156489:43110/19:43915946 - isvavai.cz</a>
Alternative codes found
RIV/60162694:G42__/19:00536608
Result on the web
<a href="https://doi.org/10.1063/1.5114418" target="_blank" >https://doi.org/10.1063/1.5114418</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1063/1.5114418" target="_blank" >10.1063/1.5114418</a>

Result language
angličtina
Original language name
The comparison of algorithms for the automatic detection of outliers in environmental data
Original language description
Measurement of air pollutant concentrations is important for evaluation of air pollution. However large data sets of environmental variables often include outliers, the observations which can significantly affect further analysis and modeling. The control of the measured data is quite often provided manually by a specialist which is unsatisfactory from a statistical point of view. Here the comparison of three methods suggested for the automatic detection of outliers in PM10 concentrations is performed based on simulated data.
Czech name
—
Czech description
—

Project
<a href="/en/project/GA16-07089S" target="_blank" >GA16-07089S: Robust approach to testing for normality of error terms in econometric models</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

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

Article name in the collection
Proceedings of the International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2018)
ISBN
978-0-7354-1854-7
ISSN
0094-243X
e-ISSN
1551-7616
Number of pages
4
Pages from-to
400004
Publisher name
American Institute of Physics (AIP)
Place of publication
Melville
Event location
Rhodos
Event date
Sep 13, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000521108600402

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