Abstract
In this article we analyze the M/G/1 retrial queue from a statistical viewpoint. Assuming that retrials are exponentially distributed we focus on the estimation of the retrial parameter for constant and non-constant retrial policies, including the non-ergodic case. We consider different estimators and compare their asymptotic variances. We test numerically the accuracy of the proposed estimators.
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