Graduation Year
2013
Document Type
Thesis
Degree
M.A.
Degree Granting Department
Mathematics and Statistics
Major Professor
Rebecca D. Wooten
Keywords
Markov Analysis, Modeling, Parametric Analysis, Regression, Storm Location
Abstract
Creating an accurate hurricane location forecasting model is of the utmost importance because of the safety measures that need to occur in the days and hours leading up to a storm's landfall. Hurricanes can be incredibly deadly and costly, but if people are given adequate warning, many lives can be spared. This thesis seeks to develop an accurate model for predicting storm location based on previous location, previous wind speed, and previous pressure. The models are developed using hurricane data from 1980-2009.
Scholar Commons Citation
Miller, Elizabeth Caitlin, "Tracking Atlantic Hurricanes Using Statistical Methods" (2013). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/4730
