Browsing Theses and Dissertations - Department of Information Systems, Statistics & Management Science by Author "Porter, Michael D."

Browsing Theses and Dissertations - Department of Information Systems, Statistics & Management Science by Author "Porter, Michael D."

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  • Wang, Ketong (University of Alabama Libraries, 2017)
    Predictive models and clustering algorithms are two of the most important statistical methodologies in solving quantitative problems. This dissertation document aims at proposing several innovative prediction and clustering ...
  • Michael, Semhar K. (University of Alabama Libraries, 2015)
    Cluster analysis is part of unsupervised learning that deals with finding groups of similar observations in heterogeneous data. There are several clustering approaches with the goal of minimizing the within cluster variance ...
  • Firouz, Mohammad Firouz (University of Alabama Libraries, 2016)
    This dissertation focuses on two contributions in supply chain management when there is a risk of disruptions. The first contribution investigates the supply chain network design of a consumable product with risks imposed ...
  • Zhu, Xuwen (University of Alabama Libraries, 2016)
    Cluster analysis performs unsupervised partition of heterogeneous data. It has applications in almost all fields of study. Model-based clustering is one of the most popular clustering methods these days due to its flexibility ...

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