On precision of stochastic optimization based on estimates from censored data. (English) Zbl 1297.62205

Summary: 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.


62N02 Estimation in survival analysis and censored data
62P25 Applications of statistics to social sciences
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