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

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

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  • Gober, Richard Wayne (1967)
    The purpose of this study is to trace the historical development of that part of modern statistical procedures known as statistical inference. Although the application of statistical methods is concerned more than ever ...
  • 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 ...
  • Michaelson, Gregory Vincent (University of Alabama Libraries, 2010)
    Determining the structure of large and complex networks is a problem that has stirred great interest in many fields including mathematics, computer science, sociology, biomedical research, and epidemiology. Despite this ...
  • Boone, Jeffrey Michael (University of Alabama Libraries, 2010)
    Autocorrelated data are common in today's process control applications. Many of these applications involve two or more related variables so that multivariate statistical process control (SPC) methods should be used in ...
  • Choi, Hwanseok (University of Alabama Libraries, 2010)
    Clustering multivariate time series data has been a challenging task for researchers since data has multiple dimensions to consider such as auto-correlations and cross-correlations whereas multivariate time series data has ...
  • Ishfaq, Rafay (University of Alabama Libraries, 2010)
    This research is motivated by the extraordinary increase in the use of intermodal shipments in recent years for both domestic and global movement of freight. Three mathematical models, which explore the dynamics of intermodal ...
  • Sasamoto, Mark Makoto (University of Alabama Libraries, 2010)
    Tree structured modeling is a data mining technique used to recursively partition a data set into relatively homogeneous subgroups in order to make more accurate predictions on future observations. One of the earliest ...
  • 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 ...
  • 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 ...
  • Yuan, Fang (University of Alabama Libraries, 2011)
    In many experimental settings, some experimental factors are very hard to change or very expensive to change, some factors are hard to change, and some factors are easy to change, which usually leads to a split-split-plot ...
  • Dovoedo, Yinaze Herve (University of Alabama Libraries, 2011)
    Tukey's traditional boxplot (Tukey, 1977) is a widely used Exploratory Data Analysis (EDA) tools often used for outlier detection with univariate data. In this dissertation, a modification of Tukey's boxplot is proposed ...
  • Oh, Dong-Yop (University of Alabama Libraries, 2012)
    Many simple and complex methods have been developed to solve the classification problem. Boosting is one of the best known techniques for improving the prediction accuracy of classification methods, but boosting is sometimes ...
  • 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 ...
  • 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 ...
  • Mercado Velasco, Gary Ricardo (University of Alabama Libraries, 2012)
    Parametric control charts are very attractive and have been used in the industry for a very long time. However, in many applications the underlying process distribution is not known sufficiently to assume a specific ...
  • McCracken, Amanda Kaye (University of Alabama Libraries, 2012)
    Since their invention in the 1920s, control charts have been popular tools for use in monitoring processes in fields as varied as manufacturing and healthcare. Most of these charts are designed to monitor a single process ...
  • Bajwa, Ahmad Naeem (University of Alabama Libraries, 2013)
    This research aims to develop and propose mathematical models that can be used to facilitate cross-functional coordination between operations and marketing. We consider a dynamic problem of joint pricing, advertising, and ...
  • Liu, Bing (University of Alabama Libraries, 2013)
    Supply chain management is more than a movement advocated by a few pioneers today. It is a strategic as well as operational revolution for business operations. Better understanding of the underlying principles of supply ...
  • Thompson, Samuel Charles (University of Alabama Libraries, 2013)
    Researchers studying the role of privacy perceptions in Location-Based Services (LBS) have primarily focused on information disclosure decisions at the individual transaction level, weighing the benefits of LBS against the ...
  • 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 ...

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