Tracking Atlantic Hurricanes Using Statistical Methods

Tracking Atlantic Hurricanes Using Statistical Methods

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 c...

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Bibliographic Details
Main Author: Miller, Elizabeth Caitlin
Format: Others
Published: Scholar Commons 2013
Subjects:
Markov Analysis
Modeling
Parametric Analysis
Regression
Storm Location
Statistics and Probability
Online Access:http://scholarcommons.usf.edu/etd/4730
http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=5927&context=etd
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spelling ndltd-USF-oai-scholarcommons.usf.edu-etd-59272015-09-30T04:43:01Z Tracking Atlantic Hurricanes Using Statistical Methods Miller, Elizabeth Caitlin 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. 2013-01-01T08:00:00Z text application/pdf http://scholarcommons.usf.edu/etd/4730 http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=5927&context=etd default Graduate Theses and Dissertations Scholar Commons Markov Analysis Modeling Parametric Analysis Regression Storm Location Statistics and Probability
collection NDLTD
format Others
sources NDLTD
topic Markov Analysis
Modeling
Parametric Analysis
Regression
Storm Location
Statistics and Probability
spellingShingle Markov Analysis
Modeling
Parametric Analysis
Regression
Storm Location
Statistics and Probability
Miller, Elizabeth Caitlin
Tracking Atlantic Hurricanes Using Statistical Methods
description 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.
author Miller, Elizabeth Caitlin
author_facet Miller, Elizabeth Caitlin
author_sort Miller, Elizabeth Caitlin
title Tracking Atlantic Hurricanes Using Statistical Methods
title_short Tracking Atlantic Hurricanes Using Statistical Methods
title_full Tracking Atlantic Hurricanes Using Statistical Methods
title_fullStr Tracking Atlantic Hurricanes Using Statistical Methods
title_full_unstemmed Tracking Atlantic Hurricanes Using Statistical Methods
title_sort tracking atlantic hurricanes using statistical methods
publisher Scholar Commons
publishDate 2013
url http://scholarcommons.usf.edu/etd/4730
http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=5927&context=etd
work_keys_str_mv AT millerelizabethcaitlin trackingatlantichurricanesusingstatisticalmethods
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