0429210 20240903170629.920140819235959.9 000340734200001 10.14736/kyb-2014-3-0297 13 s. P cav_un_epca*02971630023-5954503 (2014)297-309Ústav teorie informace a automatizace AV ČR, v. v. i. optimization consistency censored data cav_un_auth*0101227 Volf Petr Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics K 100 Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2014/SI/volf-0429210.pdf GA13-14445S GA ČR cav_un_auth*0292652 In the framework of a stochastic optimization problem, it is assumed that the stochastic characteristics of optimized system are estimated from randomly right–censored data. Such a case is frequently encountered in time-to-event or lifetime studies. The analysis of precision of such a solution is based on corresponding theoretical properties of estimated stochastic characteristics. The main concern is to show consistency of optimal solution even in the random censoring case. Behavior of solutions for finite data sizes is studied with the aid of randomly generated example. 2015 BB 1 4 O 4o 20231122140307.7 RVO:67985556 http://hdl.handle.net/11104/0235489 S COMPUTERSCIENCECYBERNETICS 0.339 0.369 Q2 42.435 14.583 Q3 Q3 2014 Soubory v repozitáři: 0429210.pdf 000340734200001 WOS cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 50 č. 3 2014 297 309 Ústav teorie informace a automatizace AV ČR, v. v. i.