| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0583572 |
| utime |
20240402215301.4 |
| mtime |
20240305235959.9 |
| WOS |
000936355000066 |
| title
(primary) (eng) |
A Bootstrap Comparison of Robust Regression Estimators |
| specification |
| page_count |
7 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0564517 |
| ISBN |
978-80-88064-62-6 |
| title
|
Mathematical Methods in Economics 2022: Proceedings |
| page_num |
161-167 |
| publisher |
| place |
Jihlava |
| name |
College of Polytechnics Jihlava |
| year |
2022 |
|
| editor |
|
|
| keyword |
linear regression |
| keyword |
robust estimation |
| keyword |
nonparametric bootstrap |
| keyword |
bootstrap hypothesis testing |
| author
(primary) |
| ARLID |
cav_un_auth*0345793 |
| name1 |
Kalina |
| name2 |
Jan |
| 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 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0448197 |
| name1 |
Janáček |
| name2 |
Patrik |
| institution |
UTIA-B |
| full_dept (cz) |
Stochastická informatika |
| full_dept |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department |
SI |
| 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) |
The ordinary least squares estimator in linear regression is well known to be highly vulnerable to the presence of outliers in the data and available robust statistical estimators represent more preferable alternatives. |
| action |
| ARLID |
cav_un_auth*0440547 |
| name |
MME 2022: International Conference on Mathematical Methods in Economics /40./ |
| dates |
20220907 |
| mrcbC20-s |
20220909 |
| place |
Jihlava |
| country |
CZ |
|
| RIV |
BA |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10103 |
| reportyear |
2024 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0351580 |
| confidential |
S |
| arlyear |
2022 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000936355000066 WOS |
| mrcbU63 |
cav_un_epca*0564517 Mathematical Methods in Economics 2022: Proceedings College of Polytechnics Jihlava 2022 Jihlava 161 167 978-80-88064-62-6 |
| mrcbU67 |
Vojáčková H. 340 |
|