0411038 20240103182257.320060210235959.9 3-540-00387-8 Berlin Springer 2003 6 s. 413-418Leopold-WildburgerU.RendlF.WascherG. stochastic programming stability and empirical estimates Kolmogorov and Wasserstein metric cav_un_auth*0101122 Kaňková Vlasta UTIA-B Department of Econometrics Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0212932 Houda M. CZ 12B GA402/01/0539 GA ČR cav_un_auth*0008959 GA402/02/1015 GA ČR cav_un_auth*0000527 436TSE113/40 Deutsche Foshugsgemeinschaft DE CEZ:AV0Z1075907 The paper deals with a stability of stochastic programming problems considered with respect to a probability measure space. In particular, the paper deals with the stability of the problems in which the operator of mathematical expectation appears in the objective function, constraints set is "deterministic" and the probability measure space is eqiupped with the Kolmogorov or the Wasserstein metric. The stability results are furthermore employed to statistical estimates. cav_un_auth*0212936 Operations Research 2002 Klagenfurt AT 02.09.2002-05.09.2002 BB E http://hdl.handle.net/11104/0131125 UTIA-B 20030025 2003 2003 Berlin Springer 3-540-00387-8 Operations Research Proceedings 2002 413 418 Leopold-Wildburger U. 340 Rendl F. 340 Wascher G. 340