Browsing Theses and Dissertations - Department of Information Systems, Statistics & Management Science by Title

Browsing Theses and Dissertations - Department of Information Systems, Statistics & Management Science by Title

Sort by: Order: Results:

  • Walker, Michael (University of Alabama Libraries, 2015)
    Initially motivated by electron microscopy experiments, we develop an approximate prediction interval on the univariate response variable Y, where it is assumed that a normal-theory linear model is fit using a transformed ...
  • Zheng, Rong (University of Alabama Libraries, 2017)
    In general, statistical methods have two categories: parametric and nonparametric. Parametric analysis is usually made based on information regarding the probability distribution of the random variable. While, nonparametric ...
  • Woolridge, Richard William (University of Alabama Libraries, 2010)
    Application and project domain specifications are an important aspect of Information Systems (IS) development. Observations of over thirty IS projects suggest dimly perceived structural patterns in specifications that are ...
  • Cook, Robert A. (University of Alabama Libraries, 2018)
    After localized disasters, donations are sometimes collected at the same facility as they are distributed, and the damaged infrastructure is overwhelmed by the congestion. However, separating the donation facilities from ...
  • 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 ...
  • Ballard, Marcus Alan (University of Alabama Libraries, 2018)
    A network consists of vertices and edges that connect the vertices. A network is clustered by assigning each of the N vertices to one of k groups, usually in order to optimize a given objective function. This dissertation ...
  • Xu, Jie (University of Alabama Libraries, 2013)
    Ensemble models, such as bagging (Breiman, 1996), random forests (Breiman, 2001a), and boosting (Freund and Schapire, 1997), have better predictive accuracy than single classifiers. These ensembles typically consist of ...
  • Martinez Cid, Waldyn Gerardo (University of Alabama Libraries, 2012)
    Ensemble methods, such as bagging (Breiman, 1996), boosting (Freund and Schapire, 1997) and random forests (Breiman, 2001) combine a large number of classifiers through (weighted) voting to produce strong classifiers. To ...
  • Neve, Benjamin V. (University of Alabama Libraries, 2011)
    This work considers three different non-traditional supply chain structures with similar demand and replenishment parameters, and similar solution techniques. In the first article, we develop an inventory model that addresses ...
  • Tribble, Larry (University of Alabama Libraries, 2016)
    The question of the value contribution of Information Technology (IT) to the firm is a continuing concern in Management Information Systems (MIS) research. While firms make significant investments in IT resources and ...
  • Li, Rong (University of Alabama Libraries, 2012)
    Routing related costs constitute a significant portion of the overall logistics costs in most service industries. Private companies are continuously striving to reduce their vehicle routing costs to maintain a better ...
  • Palmer, Nathan Curtis (University of Alabama Libraries, 2009)
    It is important for every company to minimize its costs. This includes labor costs. We develop mathematical models that allow a company to minimize its labor costs by deciding from where to hire workers and the amount that ...

Search DSpace


Browse

My Account