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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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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