bibtype L4 - Prototype, methodology, f. module, software
ARLID 0532168
utime 20240103224415.1
mtime 20200915235959.9
title (primary) (eng) Robust likelihood ratio test under measurement errors 1.0
publisher
pub_time 2020
keyword Robustní testování hypotéz
keyword chyby měření
keyword dvouvýběrový test
keyword Robust hypothesis testing
keyword measurement errors
keyword two-sample test
author (primary)
ARLID cav_un_auth*0263018
name1 Kalina
name2 Jan
institution UIVT-O
full_dept (cz) Oddělení strojového učení
full_dept (eng) Department of Machine Learning
full_dept Department of Machine Learning
share 34
fullinstit Ústav informatiky AV ČR, v. v. i.
author
ARLID cav_un_auth*0255501
name1 Broniatowski
name2 M.
country FR
share 33
author
ARLID cav_un_auth*0368969
name1 Jurečková
name2 Jana
institution UTIA-B
full_dept (cz) Stochastická informatika
full_dept Department of Stochastic Informatics
department (cz) SI
department SI
full_dept Department of Stochastic Informatics
country CZ
share 33
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url https://github.com/jankalinaUI/Likelihood-ratio-testing-under-measurement-errors
cas_special
project
project_id GA19-05704S
agency GA ČR
country CZ
ARLID cav_un_auth*0375756
abstract (eng) The implementation in R software performs a robust hypothesis test comparing two samples, which takes into account measurement errors. This is a very unique approach to testing under the presence of measurement errors. The presented code performs a complete analysis, including the computation of the test statistic for a given dataset, the critical value, and evaluates the power of the test. Computing the critical value as well as the power is very tedious but feasible with this software for moderate sample sizes. The software is available under MIT license.
RIV BA
FORD0 10000
FORD1 10100
FORD2 10101
reportyear 2021
num_of_auth 3
mrcbC47 UTIA-B 10000 10100 10101
mrcbC55 UTIA-B BA
inst_support RVO:67985807
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0310757
cooperation
ARLID cav_un_auth*0296535
name Ústav teorie informace a automatizace AV ČR
institution ÚTIA AV ČR
country CZ
cooperation
ARLID cav_un_auth*0324570
name Sorbonne Universités
country FR
confidential S
arlyear 2020
mrcbU10 2020