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Comparison of approaches for local testing with functional test statistics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12220%2F24%3A43908279" target="_blank" >RIV/60076658:12220/24:43908279 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.tandfonline.com/doi/full/10.1080/00949655.2024.2396992" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/00949655.2024.2396992</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/00949655.2024.2396992" target="_blank" >10.1080/00949655.2024.2396992</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of approaches for local testing with functional test statistics

  • Original language description

    Several new methods have been recently developed for the problem of domain selection when the test statistic is functional. That is, the aim is to distinguish between the two domains where the tested hypothesis should be rejected and where it should not. This work aims to compare these new methods through an extensive simulation study that consists of 1584 scenarios. The error rate, consisting of type I and type II errors, was chosen as a measure to compare the methods, regarding the two types of errors equally important. The false discovery rate methods consistently showed the best performance of all methods. When higher importance is given to type I error rate, the family-wise error rate methods should be preferred. From these methods, the global envelope test performed the best for smoother functions. None of the tested methods was consistently the best for very wiggly functions.

  • 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

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • 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 Statistical Computation and Simulation

  • ISSN

    0094-9655

  • e-ISSN

    1563-5163

  • Volume of the periodical

    94

  • Issue of the periodical within the volume

    16

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    18

  • Pages from-to

    "3555–3572"

  • UT code for WoS article

    001309984500001

  • EID of the result in the Scopus database

    2-s2.0-85203594528