Term of Award
Master of Science in Mathematics (M.S.)
Document Type and Release Option
Thesis (open access)
Copyright Statement / License for Reuse
This work is licensed under a Creative Commons Attribution 4.0 License.
Department of Mathematical Sciences
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In the field of survey methodology, optimizing contact strategies helps organizations increase response rates using their allocated budget. Markov Decision Processes (MDP) are widely used to model decision-making strategies in situations where the outcomes have a random component. In this research, we use MDPs and adaptive sampling techniques to construct a strategy that, based on target audience characteristics, suggests the best contact policy. The data we use comes from the First Destination Survey conducted by the Office of Career Services at Georgia Southern University. The constructed model is quite flexible and can be used by other organizations to optimize their contact strategies.
Grygorian, Artur, "A Markov Decision Process Approach to Adaptive Contact Strategies" (2017). Electronic Theses and Dissertations. 1542.
Research Data and Supplementary Material
Applied Statistics Commons, Control Theory Commons, Design of Experiments and Sample Surveys Commons, Dynamic Systems Commons, Statistical Models Commons