bibtype J - Journal Article
ARLID 0386463
utime 20240111140825.2
mtime 20130111235959.9
title (primary) (eng) Unit Stratified Sampling as a Tool for Approximation of Stochastic Optimization Problems
specification
page_count 17 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 153-169
keyword Stochastic programming
keyword approximation
keyword stratified sampling
author (primary)
ARLID cav_un_auth*0101206
name1 Šmíd
name2 Martin
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
institution UTIA-B
full_dept Department of Econometrics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2013/E/smid-unit stratified sampling as a tool for approximation of stochastic optimization problems.pdf
source_size 192 KB
cas_special
project
project_id GAP402/11/0150
agency GA ČR
ARLID cav_un_auth*0273629
project
project_id GAP402/10/0956
agency GA ČR
ARLID cav_un_auth*0263482
project
project_id GA402/09/0965
agency GA ČR
ARLID cav_un_auth*0253176
research CEZ:AV0Z10750506
abstract (eng) We apply stratified sampling with equiprobable strata and a single observation drawn from each stratum to the approximate computation of stochastic programming problems. We determine the convergence rate of the approximation error both when computing expectations and when approximating stochastic programming problems.
reportyear 2013
RIV BB
num_of_auth 1
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0216183
arlyear 2012
mrcbU56 192 KB
mrcbU63 cav_un_epca*0293025 Bulletin of the Czech Econometric Society 1212-074X Roč. 19 č. 30 2012 153 169