TY - GEN A1 - Eichhorn, Andreas A1 - Römisch, Werner T1 - Stochastic integer programming: Limit theorems and confidence intervals N2 - We consider empirical approximations of two-stage stochastic mixed-integer linear programs and derive central limit theorems for the objectives and optimal values. The limit theorems are based on empirical process theory and the functional delta method. We also show how these limit theorems can be used to derive confidence intervals for optimal values via a certain modification of the bootstrapping method. Y1 - 2005 UR - https://opus4.kobv.de/opus4-matheon/frontdoor/index/index/docId/206 UR - https://nbn-resolving.org/urn:nbn:de:0296-matheon-2062 ER -