(1) Institute of Mathematical Statistics, Technical University of Dresden, D-01062 Dresden, Germany;(2) Institute of Mathematics, Technical University of Wroslaw, PL-50-370 Wroclaw, Poland
Abstract:
The paper deals with the problem of sequential estimation for stochastic processes in the presence of a nuisance parameter. Using the approach to estimation through estimating equations, optimum estimating functions based on a random observation time are investigated in some models for processes appearing in reliability systems theory.