0583572 20240529113305.320240305235959.9 000936355000066 7 s. P cav_un_epca*0564517978-80-88064-62-6161-167JihlavaCollege of Polytechnics Jihlava2022VojáčkováH. linear regression robust estimation nonparametric bootstrap bootstrap hypothesis testing cav_un_auth*0345793 Kalina Jan UTIA-B Stochastická informatika Department of Stochastic Informatics SI SI Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0448197 Janáček Patrik UTIA-B Stochastická informatika Department of Stochastic Informatics SI SI CZ Ústav teorie informace a automatizace AV ČR, v. v. i. https://library.utia.cas.cz/separaty/2023/SI/kalina-0583572.pdf GA21-05325S GA ČR cav_un_auth*0409039 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. cav_un_auth*0440547 MME 2022: International Conference on Mathematical Methods in Economics /40./ 20220907 20220909 Jihlava CZ BA 10000 10100 10103 2024 PR RVO:67985556 https://hdl.handle.net/11104/0351580 S Proceedings Paper Economics|Mathematics Interdisciplinary Applications|Social Sciences Mathematical Methods 2022 SCOPUS PUBMED 000936355000066 WOS cav_un_epca*0564517 Mathematical Methods in Economics 2022: Proceedings College of Polytechnics Jihlava 2022 Jihlava 161 167 978-80-88064-62-6 Vojáčková H. 340