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Functional ANOVA based on empirical characteristic functionals

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10444943" target="_blank" >RIV/00216208:11320/22:10444943 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=4vgw1eUX1_" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=4vgw1eUX1_</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jmva.2021.104878" target="_blank" >10.1016/j.jmva.2021.104878</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Functional ANOVA based on empirical characteristic functionals

  • Original language description

    Functional two-sample tests based on empirical characteristic functionals are studied. We consider a test statistic of Cramer-von Mises type with integration over a preselected family of probability measures, say Q, leading to a computationally feasible and powerful test statistic. Small sample properties of the resulting two- and k-sample functional tests are investigated in a simulation study. In particular, we compare the resulting tests to previously proposed tests of equality of mean functions and covariance operators and we show that a proper choice of the probability measure Q gives very good power in detecting shift and scale alternatives. (C) 2021 Elsevier Inc. All rights reserved.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    <a href="/en/project/GA18-08888S" target="_blank" >GA18-08888S: Two-sample change-point</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Multivariate Analysis

  • ISSN

    0047-259X

  • e-ISSN

  • Volume of the periodical

    189

  • Issue of the periodical within the volume

    May 2022

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    15

  • Pages from-to

    104878

  • UT code for WoS article

    000759649300007

  • EID of the result in the Scopus database

    2-s2.0-85118884147