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Empirical Likelihood Confidence Regions for Branching Processes with Immigration

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dc.contributor.advisor Vidyashankar, Anand N.
dc.contributor.author Ren, Pin en_US
dc.creator Ren, Pin en_US
dc.date.accessioned 2014-09-18T01:56:58Z
dc.date.available 2014-09-18T01:56:58Z
dc.date.issued 2014-05 en_US
dc.identifier.uri http://hdl.handle.net/1920/8923
dc.description.abstract Branching processes arise in multiple areas of scientic applications such as social science, cell biology, epidemic spread, and nance. This dissertation is concerned with joint inference for the mean and variance parameters of branching processes with immigration. Specically, we describe a new empirical likelihood based methodology for constructing the simultaneous condence region for the mean and variance parameters of the branching processes. We provide a theoretical justication of the proposed methods and an algorithm for computations. Simulation and data analysis results will also be presented. en_US
dc.format.extent 82 pages en_US
dc.language.iso en en_US
dc.rights Copyright 2014 Pin Ren en_US
dc.subject Statistics en_US
dc.title Empirical Likelihood Confidence Regions for Branching Processes with Immigration en_US
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Statistical Science en
thesis.degree.grantor George Mason University en


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