| bibtype |
M -
Monography Chapter
|
| ARLID |
0602333 |
| utime |
20241209124538.6 |
| mtime |
20241205235959.9 |
| DOI |
10.1007/978-3-031-61853-6_13 |
| title
(primary) (eng) |
Testing Axial Symmetry by Means of Directional Quantile Regression Coefficients |
| specification |
| page_count |
19 s. |
| book_pages |
618 |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0602332 |
| ISBN |
978-3-031-61852-9 |
| title
|
Recent Advances in Econometrics and Statistics |
| page_num |
241-259 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2024 |
|
| editor |
| name1 |
Barigozzi |
| name2 |
Matteo |
|
| editor |
| name1 |
Hörmann |
| name2 |
Siegfried |
|
| editor |
| name1 |
Paindaveine |
| name2 |
Davy |
|
|
| keyword |
axial symmetry |
| keyword |
quantile regression |
| keyword |
testing symmetry |
| author
(primary) |
| ARLID |
cav_un_auth*0266474 |
| name1 |
Šiman |
| name2 |
Miroslav |
| institution |
UTIA-B |
| full_dept (cz) |
Stochastická informatika |
| full_dept (eng) |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department (eng) |
SI |
| full_dept |
Department of Stochastic Informatics |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GA21-05325S |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0409039 |
|
| abstract
(eng) |
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. |
| RIV |
BA |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10103 |
| reportyear |
2025 |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0359694 |
| confidential |
S |
| arlyear |
2024 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0602332 Recent Advances in Econometrics and Statistics Springer 2024 Cham 241 259 978-3-031-61852-9 |
| mrcbU67 |
Barigozzi Matteo 340 |
| mrcbU67 |
Hörmann Siegfried 340 |
| mrcbU67 |
Paindaveine Davy 340 |
|