bibtype J - Journal Article
ARLID 0411493
utime 20240103182331.9
mtime 20060210235959.9
title (primary) (eng) Prior knowledge in estimation of bi-phase model of 131I accumulation in thyroid gland. Abstract
specification
page_count 1 s.
serial
ARLID cav_un_epca*0257858
ISSN 1619-7070
title European Journal of Nuclear Medicine and Molecular Imaging
volume_id 32
page_num 42
publisher
name Springer
title (cze) Apriorní informace v odhadování parametrů dvojfázového modelu akumulace 131I ve štítné žláze
keyword Bayesian identification
keyword linear regression model
keyword prior constraint of parameters
author (primary)
ARLID cav_un_auth*0202818
name1 Varga
name2 F.
country CZ
author
ARLID cav_un_auth*0101119
name1 Jirsa
name2 Ladislav
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0015563
name1 Heřmanská
name2 J.
country CZ
author
ARLID cav_un_auth*0101124
name1 Kárný
name2 Miroslav
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0000043
name1 Vlček
name2 P.
country CZ
source
url http://library.utia.cas.cz/prace/20050223.html
COSATI 06R
COSATI 12B
cas_special
project
project_id 1ET100750404
agency GA AV ČR
ARLID cav_un_auth*0001793
project
project_id IBS1075351
agency GA AV ČR
ARLID cav_un_auth*0001804
research CEZ:AV0Z10750506
abstract (eng) Identification of a bi-phase model of activity accumulation in thyroid gland is enhanced by prior information on uncertain parameters. The improvement is tested on the prediction abilities of the model. The methodology is suitable for the considered case when a little amount of noisy data is available for the identificaiton.
abstract (cze) Identifikace dvojfázového modelu akumulace aktivity ve štítné žláze je zlepšeno apriorní informací o neznámých parametrech. Zlepšení je testováno na predikčních schopnostech modelu. Použitá metodologie je vhodná pro uvažovaný případ, kdy je pro indentifikaci dostupné malé množství zašuměných dat.
RIV BB
reportyear 2006
department AS
permalink http://hdl.handle.net/11104/0131573
ID_orig UTIA-B 20050223
arlyear 2005
mrcbU63 cav_un_epca*0257858 European Journal of Nuclear Medicine and Molecular Imaging 1619-7070 1619-7089 Roč. 32 Suppl. 1 2005 42 Springer