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Bayesian inference for the offered optical network unit load
Authors:Sumith Gunasekera
Affiliation:1. Department of Mathematics, The University of Tennessee - Chattanooga, Chattanooga, Tennessee, USASumith-Gunasekera@utc.edu
Abstract:Abstract

In this article, Bayesian inference for the Offered Optical Network Unit Load (OOL) using non-informative, gamma, power function, and gamma-power function priors is considered. Pareto distributed ON-and OFF-periods generated by the ON/OFF sources at an Optical Network Unit (ONU) in an Ethernet Passive Optical Network (EPON) system are assumed for our implementation in this article. A simulation study and a real-data-based illustrative example are given to demonstrate the advantages of the proposed Bayesian method over the large-sample method.
Keywords:Bayes estimator  Gibbs sampling  Pareto distribution  Prior distribution, Squared-error loss
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