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Outlier Detection in PM10 Aerosols by Generalised Linear Model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F18%3A43913796" target="_blank" >RIV/62156489:43110/18:43913796 - isvavai.cz</a>

  • Alternative codes found

    RIV/60162694:G42__/18:00536607

  • Result on the web

    <a href="https://doi.org/10.1063/1.5043740" target="_blank" >https://doi.org/10.1063/1.5043740</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1063/1.5043740" target="_blank" >10.1063/1.5043740</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Outlier Detection in PM10 Aerosols by Generalised Linear Model

  • Original language description

    Measurements of air pollutant concentrations often include outliers which can significantly affect further analysis and modelling. The validation of the analysed data is quite often provided manually based on subjective evaluation of the specialist which is unsatisfactory from a statistical point of view. Here the method for outlier detection in PM10 concentrations based on generalised linear model, which enables to take into account the influence of known accompanying variables, is presented. Although that the generalised linear model must be adapted to the analysed data and monitoring location the methodology is general and can be applied to concentrations of any air pollutant under the condition that the observations of accompanying variables are available.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • 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)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the International Conference of Numerical Analysis and Applied Mathematics 2017 (ICNAAM 2017)

  • ISBN

    978-0-7354-1690-1

  • ISSN

    0094-243X

  • e-ISSN

    1551-7616

  • Number of pages

    4

  • Pages from-to

    "nestrankovano"

  • Publisher name

    American Institute of Physics (AIP)

  • Place of publication

    Melville

  • Event location

    Soluň

  • Event date

    Sep 25, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000445105400088