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On a large sample test for the traffic intensity in GI|G|s queue

Suhasini Subba Rao, K. Harishchandra

Open publisher page 7 citations

Abstract

Abstract A large sample test based on normal approximation for the traffic intensity parameter ρ in the cases of single and multiple‐server queues has been proposed. The test procedure is developed without imposing steady‐state assumptions and is applicable to queueing systems with general interarrival and service‐time distributions.

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What this paper is about

Abstract A large sample test based on normal approximation for the traffic intensity parameter ρ in the cases of single and multiple‐server queues has been proposed. The test procedure is developed without imposing steady‐state assumptions and is applicable to queueing systems with general interarrival and service‐time distributions.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Abstract A large sample test based on normal approximation for the traffic intensity parameter ρ in the cases of single and multiple‐server queues has been proposed. The test procedure is developed without imposing steady‐state assumptions and is applicable to queueing systems with general interarrival and service‐time distributions.

Key concepts: Traffic intensity, Queue, Queueing theory, Sample (material), Intensity (physics), Computer science, Test (biology), Statistics

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