bibtype J - Journal Article
ARLID 0387175
utime 20240103201940.3
mtime 20130207235959.9
title (primary) (eng) On precision of optimization in the case of incomplete information
specification
page_count 15 s.
serial
ARLID cav_un_epca*0293025
ISSN 1212-074X
title Bulletin of the Czech Econometric Society
volume_id 19
volume 30 (2012)
page_num 170-184
keyword stochastic optimization
keyword censored data
keyword Fisher information
keyword product-limit estimator
author (primary)
ARLID cav_un_auth*0101227
name1 Volf
name2 Petr
full_dept (cz) Stochastická informatika
full_dept (eng) Department of Stochastic Informatics
department (cz) SI
department (eng) SI
institution UTIA-B
full_dept Department of Stochastic Informatics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2013/SI/volf-on precision of optimization in the case of incomplete information.pdf
cas_special
project
project_id GAP402/10/0956
agency GA ČR
ARLID cav_un_auth*0263482
abstract (eng) The impact of incomplete information to precision of results of stochastic optimization is studied. It is assumed that the stochastic characteristics of optimized system are evaluated from the data which can be incomplete, namely, we consider the random censoring frequently encountered in time-to-event or lifetime studies. The analysis of uncertainty of solution is based both on theoretical properties of estimated stochastic characteristics and on simulated examples.
reportyear 2013
RIV BB
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0217950
arlyear 2012
mrcbU63 cav_un_epca*0293025 Bulletin of the Czech Econometric Society 1212-074X Roč. 19 č. 30 2012 170 184