2020
DOI: 10.1186/s41546-020-00044-z
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Moderate deviation for maximum likelihood estimators from single server queues

Abstract: Consider a single server queueing model which is observed over a continuous time interval (0, T ], where T is determined by a suitable stopping rule. Let θ be the unknown parameter for the arrival process andθ T be the maximum likelihood estimator of θ. The main goal of this paper is to obtain a moderate deviation result of the maximum likelihood estimator for the single server queueing model under certain regular conditions. Keywords GI /G/1 queue · Maximum likelihood estimator · Fisher information · Moderate… Show more

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Cited by 5 publications
(1 citation statement)
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“…Various methods, including support vector machine (SVM), random forest (RF), neural network (NN), and regression trees (RT), have been proposed for classification. Still, maximum likelihood (ML) is one of the most common methods [41,42]) and was used in this study. LULC classes indicate how much a region is covered by forests, wetlands, impervious surfaces, agriculture, or other land and water types.…”
Section: Classify Imagesmentioning
confidence: 99%
“…Various methods, including support vector machine (SVM), random forest (RF), neural network (NN), and regression trees (RT), have been proposed for classification. Still, maximum likelihood (ML) is one of the most common methods [41,42]) and was used in this study. LULC classes indicate how much a region is covered by forests, wetlands, impervious surfaces, agriculture, or other land and water types.…”
Section: Classify Imagesmentioning
confidence: 99%