eprintid: 13455
rev_number: 8
eprint_status: archive
userid: 353
dir: disk0/00/01/34/55
datestamp: 2016-07-28 12:49:53
lastmod: 2022-02-02 14:10:44
status_changed: 2016-07-28 12:49:53
type: article
metadata_visibility: show
item_issues_count: 1
creators_name: Ermoliev, Y.
creators_name: Knopov, P.S.
creators_id: 1445
title: Method of empirical means in stochastic programming problems
ispublished: pub
keywords: Empirical mean method; Estimate; Estimation; Optimization; Risk
abstract: This paper deals with the empirical mean method, which is one of the most well-known methods of solving stochastic programming problems. The authors present their results obtained in recent years and discuss their application to estimation and identification problems.
date: 2006-11
date_type: published
publisher: Springer
id_number: 10.1007/s10559-006-0118-z
creators_browse_id: 338
full_text_status: none
publication: Cybernetics and Systems Analysis
volume: 42
number: 6
pagerange: 773-785
refereed: TRUE
issn: 1060-0396
coversheets_dirty: FALSE
fp7_project: no
fp7_type: info:eu-repo/semantics/article
citation:   Ermoliev, Y. <https://pure.iiasa.ac.at/view/iiasa/338.html> & Knopov, P.S.  (2006).  Method of empirical means in stochastic programming problems.   Cybernetics and Systems Analysis 42 (6) 773-785. 10.1007/s10559-006-0118-z <https://doi.org/10.1007/s10559-006-0118-z>.