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A measure of variability within parametric families of continuous distributions

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    SYSNO ASEP0567877
    Document TypeJ - Journal Article
    R&D Document TypeThe record was not marked in the RIV
    Subsidiary JČlánek ve WOS
    TitleA measure of variability within parametric families of continuous distributions
    Author(s) Fabián, Zdeněk (UIVT-O) SAI, RID
    Source TitleCommunications in Statistics - Theory and Methods. - : Taylor & Francis - ISSN 0361-0926
    Online 11 January 2023 (2024)
    Number of pages13 s.
    Languageeng - English
    CountryUS - United States
    KeywordsScalar-valued score ; score mean ; score variance ; distance in the sample space
    OECD categoryStatistics and probability
    Method of publishingOpen access
    Institutional supportUIVT-O - RVO:67985807
    UT WOS000910123100001
    EID SCOPUS85146227373
    DOI10.1080/03610926.2022.2155792
    AnnotationA new approach to theory of continuous probability distributions, based on scalar-valued score functions, offers the score mean as a finite typical value of distributions including the heavy-tailed ones. In the article, we define the score variance as a finite measure of variability of distributions with respect to the typical value and discuss its properties and methods of its estimation. By means of the square root of the score variance we introduce a generalized Rao distance in the sample space.
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Year of Publishing2025
    Electronic addresshttps://dx.doi.org/10.1080/03610926.2022.2155792
Number of the records: 1  

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