Dynamical Modeling and Data Clustering with Applications to Tick Population Dynamics and Finance

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dc.contributor.advisorWu, Jianhong
dc.contributor.authorSadiku, Jemisa
dc.date.accessioned2021-03-08T17:29:24Z
dc.date.available2021-03-08T17:29:24Z
dc.date.copyright2020-12
dc.date.issued2021-03-08
dc.date.updated2021-03-08T17:29:24Z
dc.degree.disciplineMathematics & Statistics
dc.degree.levelDoctoral
dc.degree.namePhD - Doctor of Philosophy
dc.description.abstractMathematical models are valuable tools that assist to control the spread of infected ticks and analyze tick-host dynamics. In this work, a compartmental model is created to study the dynamics of lone star ticks and white-tailed deers, with a focus on migration effect of white-tailed deers. The second model focuses on the effect of grooming behaviour of the host on tick dynamics. Lastly, a data set is separated using K-means and Birch clustering techniques and the silhouette score has been evaluated.
dc.identifier.urihttp://hdl.handle.net/10315/38236
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectApplied mathematics
dc.subject.keywordsModeling
dc.subject.keywordsTick Population Dynamics
dc.subject.keywordsClustering
dc.titleDynamical Modeling and Data Clustering with Applications to Tick Population Dynamics and Finance
dc.typeElectronic Thesis or Dissertation

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