<mods:mods version="3.3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mods:titleInfo><mods:title>Method of empirical means in stochastic programming problems</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">Y.</mods:namePart><mods:namePart type="family">Ermoliev</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">P.S.</mods:namePart><mods:namePart type="family">Knopov</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods: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.</mods:abstract><mods:originInfo><mods:dateIssued encoding="iso8601">2006-11</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>Springer</mods:publisher></mods:originInfo><mods:genre>Article</mods:genre></mods:mods>