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Publication:3308815
zbMath0528.60067MaRDI QIDQ3308815
Publication date: 1983
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Convergence of probability measures (60B10)
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Nonparametric estimation of the claim amount in the strong stability analysis of the classical risk model ⋮ Sensitivity of the stability bound for ruin probabilities to claim distributions ⋮ Weak stability bounds for approximations of invariant measures with applications to queueing ⋮ Performance analysis approximation in a queueing system of type \(M/G/1\) ⋮ Strong stability of the embedded Markov chain in an \(GI/M/1\) queue with negative customers ⋮ Measure of performances of the strong stability method ⋮ Asymmetric kernel method in the study of strong stability of the PH/M/1 queuing system ⋮ Phase-type approximations of service-time distributions in \(M/G/1\) queues ⋮ Continuous dependence in a problem of convergence of random iteration ⋮ Error bounds on practical approximation for two tandem queue with blocking and non-preemptive priority ⋮ Perturbation analysis of the \(\mathrm{GI}/\mathrm{M}/s\) queue ⋮ Perturbation bounds for Markov chains with general state space ⋮ Strong truncation approximation in tandem queues with blocking ⋮ Approximation in the \(M_{2}/G_{2}/1\) queue with preemptive priority ⋮ Strong stability and perturbation bounds for discrete Markov chains ⋮ Estimate of the strong stability in an (\(R,s,S\)) inventory model ⋮ Statistical techniques for a numerical evaluation of the proximity of \(G/G/1\) and \(G/M/1\) queueing systems ⋮ New perturbation bounds for denumerable Markov chains ⋮ Impact of Nonparametric Density Estimation on the Approximation of the G∕G∕1 Queue by the M∕G∕1 One ⋮ Performance Evaluation in a Queueing System M 2/G/1 ⋮ Stability of Two-Stage Queues with Blocking ⋮ Stationary distribution and perturbation bounds for a stochastic inventory model ⋮ Interest of boundary kernel density techniques in evaluating an approximation error of queueing systems characteristics
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