0410872 20240103182245.320060210235959.9 80-248-0153-1 Ostrava Technical University 2002 6 s. 231-236RamíkJ. Markov reward chains asymptotic behaviour mean variance penalization cav_un_auth*0101196 Sladký Karel UTIA-B Department of Econometrics Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101193 Sitař Milan UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. 12B 05D GA402/02/1015 GA ČR cav_un_auth*0000527 GA402/01/0539 GA ČR cav_un_auth*0008959 CEZ:AV0Z1075907 We consider a discrete time Markov reward process with finite state space and assume that the rewards associated with the transitions are random variables with known probability distributions and finite first and second moments. We are interested in properties of cumulative reward earned in the subsequent transitions of the Markov chain. Explicit formulas for expected values and variance of the cumulative (random) reward are obtained for finite and infinite horizon models. cav_un_auth*0212937 Mathematical Methods in Economics 2002 /20./ Ostrava CZ 03.09.2002-05.09.2002 BB E http://hdl.handle.net/11104/0130959 UTIA-B 20020086 2002 2002 Ostrava Technical University 80-248-0153-1 Proceedings of the 20th International Conference Mathematical Methods in Economics 2002 231 236 Ramík J. 340