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Abstract Details
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Activity Number:
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576
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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| Abstract - #303043 |
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Title:
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Statistical Inferences for the Offered Optical Network Unit Load
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Author(s):
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Sumith Gunasekera*+
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Companies:
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The University of Tennessee at Chattanooga
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Address:
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Department of Mathematics, Chattanooga, TN, 37403-2598,
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Keywords:
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Classical tests ;
Generalized tests ;
Pareto distribution ;
Offered Optical Network Unit Load ;
Multiplexing
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Abstract:
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A Passive Optical Networks (PONs) system of multiple sources that generates sequences of ON-and OFF-periods is considered. When multiple parallel connections are aggregated (serialized or multiplexed), the net load, called the Offered Optical Network Unit Load (OOL), is generated at the Optical Network Unit (ONU). Statistical inferences of OOL of Self-Similar (SS) or Long-Range-Dependent (LRD) network traffic are performed. An approximate test and approximate confidence intervals based on the Large Sample Normal Approach as well as a generalized variable test and generalized confidence intervals based on the Generalized Variable Method (GVM) are given. A limited simulation study is given to demonstrate the advantages of the propopesd Generalized Variable Method over the Approximate Procedures.
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Authors who are presenting talks have a * after their name.
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