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Parameter estimation for switched counting processes
Authors:Jürgen franza  Ryszard magiera
Institution:1. Technical University of Dresden , Germany;2. Technical University of Wroclaw , Poland
Abstract:The paper investigates parameter estimation problems in special Markov modulated counting processes. The events occuring at any state of an underlying Markov chain can be equipped with marks performing additional information on the events. Specifying the model to the case of two-state Markov chain modulation, the so-called switched counting process, some statistical problems are studied:maximum likelihood estimators, Rao-Blackwell optimal estimators, test of equality of the counting intensities of the two states and minimax estimation procedures. Tne consideration could be applied in various practical problems, in particular, in queueing and in reliability models, for example in failure-repair processes with alternatively operating repair systems.
Keywords:Switched counting processes  Marked processes  Stopping times  Maximum likelihood estimators  Rao-Blackwell optimal sequential estimation  Minimax estima-tors  Bayes approach
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