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Activity Number:
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413
- Analyses of Environmental Data
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Type:
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Contributed
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Date/Time:
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Thursday, August 12, 2021 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics and the Environment
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Abstract #317766
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Title:
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A Basic Logistic Regression Approach to Analyzing Hurricanes in the Atlantic Basin
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Author(s):
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Joy Marie D'Andrea*
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Companies:
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USF
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Keywords:
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Categories of Storms;
Regression;
Logisic Regression;
Hurricances;
Gulf of Mexico
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Abstract:
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Abstract: The formation of a hurricane on any given day is a dichotomous measure in that either there is a storm present or there is no storm present. The atmospheric conditions are the factors that drive such storm formation. Such relationship can be modeled using logistic regression. Logistic regression is a type of probabilistic statistical classification model that is used to estimate the log odds or probability of a storm being present as a function of the predictor variables. We are interested in determining the probabilistic outcomes of when a storm is present (also categorically) in the Atlantic Basin. In this paper we will present logistic regression model(s) that estimate the probability of a storm being present (also categorically) in the Atlantic Basin as a function of the atmospheric conditions are measured at a buoy in the Gulf of Mexico.
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Authors who are presenting talks have a * after their name.
