Testing Axial Symmetry by Means of Directional Quantile Regression Coefficients
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F24%3A00602333" target="_blank" >RIV/67985556:_____/24:00602333 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-61853-6_13" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-61853-6_13</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-61853-6_13" target="_blank" >10.1007/978-3-031-61853-6_13</a>
Alternative languages
Result language
angličtina
Original language name
Testing Axial Symmetry by Means of Directional Quantile Regression Coefficients
Original language description
Testing axial symmetry given the axial direction has recently attracted considerable attention not only because of its direct practical applications, but also because of its wide implications for testing exchangeability, independence, goodness-of-fit or equality of scale. The contribution extends the family of recently developed tests of axial symmetry with new members that are based on coefficient estimates in directional quantile regression. The proposed testing tools are especially suitable for the situations not covered well by available competitors, i.e., in the linear regression context or when regression rank scores are not available. The performance of the new tests in such settings is illustrated with a few representative simulation experiments.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/GA21-05325S" target="_blank" >GA21-05325S: Modern nonparametric methods in econometrics</a><br>
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
Book/collection name
Recent Advances in Econometrics and Statistics
ISBN
978-3-031-61852-9
Number of pages of the result
19
Pages from-to
241-259
Number of pages of the book
618
Publisher name
Springer
Place of publication
Cham
UT code for WoS chapter
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