0380981 20240103201240.020121101235959.9 000316715900166 6 s. P cav_un_epca*0380980978-80-7248-779-0968-973KarvináSilesian University in Opava, School of Business Administration in Karviná2012RamíkJaroslavStavárekDaniel optimization censored data Fisher information product-limit estimate cav_un_auth*0101227 Volf Petr Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2012/SI/volf-on problem of optimization under incomplete information.pdf GAP402/10/0956 GA ČR cav_un_auth*0263482 The paper studies consequences of incomplete information to uncertainty of results of stochastic optimization. Stochastic characteristics of optimized system are evaluated from observed data, moreover, the data may be incomplete. Namely, we consider the random censoring of observations frequently encountered in time-to-event (of lifetime) studies. The analysis of uncertainty will be based both on theoretical properties of estimated stochastic characteristics and on simulated examples. cav_un_auth*0283511 30th International Conference Mathematical Methods in Economics 2012 Karviná 11.09.2012-13.09.2012 CZ 2013 BB 1 PR RVO:67985556 http://hdl.handle.net/11104/0211560 2012 000316715900166 WOS cav_un_epca*0380980 Proceedings of 30th International Conference Mathematical Methods in Economics 978-80-7248-779-0 968 973 Karviná Silesian University in Opava, School of Business Administration in Karviná 2012 Ramík Jaroslav 340 Stavárek Daniel 340