Theses and Dissertations
Date of Award
8-2019
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Mathematics
First Advisor
Dr. George P. Yanev
Second Advisor
Dr. Hansapani Rodrigo
Third Advisor
Dr. Tamer F. Oraby
Abstract
The motivation for this paper stems from the role Borel-Tanner (BT) distribution has as the distribution of the total outbreak number in epidemics modeled by branching processes. We briefly review Borel-Tanner distribution and its applications. In Chapter II we outline the Bayes decision problem, a construction for an Empirical Bayes (EB) estimator proposed by Liang [9] and discuss risk analysis. In Chapter III, the importance of randomization addressed and a classical construction of a monotonized EB estimator proposed by Houwalingen [14] is outlined. Lastly in Chapter IV we use R software to perform a Monte Carlo simulation and conduct a numerical study in which we construct data and estimators for the reproduction parameter of Borel-Tanner distribution. We implement a procedure outlined by Houwalingen to obtain a monotonized version of the EB estimator proposed by Liang . The estimators are assessed through risk analysis under squared error loss function and numerical study results are reviewed. The study suggests that the monotonized EB estimator outperforms the original EB estimator.
Recommended Citation
Soltero, Celestina Ruby, "Empirical Bayes Estimators and Borel-Tanner Distribution" (2019). Theses and Dissertations. 528.
https://scholarworks.utrgv.edu/etd/528
Comments
Copyright 2019 Celestina Ruby Soltero. All Rights Reserved.
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