Počet záznamů: 1  

Kernel density estimation for circular data about COVID-19 in the Czech Republic

  1. 1.
    SYSNO ASEP0544804
    Druh ASEPA - Abstrakt
    Zařazení RIVZáznam nebyl označen do RIV
    Zařazení RIVNení vybrán druh dokumentu
    NázevKernel density estimation for circular data about COVID-19 in the Czech Republic
    Tvůrce(i) Katina, Stanislav (UIVT-O) SAI, ORCID, RID
    Zámečník, S. (CZ)
    Hórová, I. (CZ)
    Celkový počet autorů3
    Zdroj.dok.ISCB 2021: 42nd Annual Conference of the International Society for Biostatistics: Final Programme & Book of Abstracts. - Lyon : ISCB / University Lyon, 2021
    S. 244-244
    Poč.str.1 s.
    AkceISCB 2021: Annual Conference of the International Society for Biostatistics /42./
    Datum konání18.07.2021 - 22.07.2021
    Místo konáníLyon
    ZeměFR - Francie
    Typ akceWRD
    Jazyk dok.eng - angličtina
    Země vyd.FR - Francie
    Institucionální podporaUIVT-O - RVO:67985807
    AnotaceThe term circular statistics describes a set of techniques used to model distributions of random variables that are cyclic in nature and these approaches can be easily adapted to temporal data recorded, e.g., daily, weekly or monthly. One of the nonparametric possibilities how to analyze these data is through kernel estimations of circular densities where the problem of how much to smooth, i.e., how to choose the bandwidth, is crucial. In this presentation we describe the existing methods: cross-validation method, smoothed cross-validation, adaptive method and propose their modifications. We apply these methods on real data from the Institute of health information and statistics of the Czech Republic about total (cumulative) number of persons with a proven COVID-19 infection according to regional hygienic stations, number of cured persons, number of deaths and tests performed for whole country and regions coded based on nomenclature of territorial units for Statistics (NUTS). The results are visualized as circular histograms (rose diagrams) and calculated standardized characteristics are superimposed with choropleth map, where NUTS are shaded in diverging color scheme. All statistical analyses are performed in the R software.
    PracovištěÚstav informatiky
    KontaktTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Rok sběru2022
Počet záznamů: 1  

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