Empirical Likelihood Confidence Regions for Branching Processes with Immigration

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dc.contributor.advisorVidyashankar, Anand N.
dc.contributor.authorRen, Pin
dc.creatorRen, Pin
dc.date.accessioned2014-09-18T01:56:58Z
dc.date.available2014-09-18T01:56:58Z
dc.date.issued2014-05
dc.description.abstractBranching 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.
dc.format.extent82 pages
dc.identifier.urihttps://hdl.handle.net/1920/8923
dc.language.isoen
dc.rightsCopyright 2014 Pin Ren
dc.subjectStatistics
dc.titleEmpirical Likelihood Confidence Regions for Branching Processes with Immigration
dc.typeDissertation
thesis.degree.disciplineStatistical Science
thesis.degree.grantorGeorge Mason University
thesis.degree.levelDoctoral

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