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Sequential estimation for a family of counting processes in the nuisance parameter case
Authors:Jürgen Franz  Ryszard Magiera
Affiliation:(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.
Keywords:sequential plan  information inequality  optimum estimating equation  nuisance parameter  stopping time  inverse plan  nonhomogeneous Poisson process  counting process  renewal process  reliability models
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