• Distribution system design for omnichannel retailing 

  Guo, Jia (University of Alabama Libraries, 2019)

  Omnichannel retailing - serving customers via a combination of physical stores and web-based stores- offers new opportunities and forces traditional retailers to rethink their supply chain design, operational efficiency, ...
• On the use of transformations for modeling multidimensional heterogeneous data 

  Sarkar, Shuchismita (University of Alabama Libraries, 2019)

  The objective of cluster analysis is to find distinct groups of similar observations. There are many algorithms in literature that can perform this task and among them model based clustering is one of the most flexible ...
• Discernable Periods in the Historical Development of Statistical Inference 

  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 ...
• Stochastic decision models for last mile distribution using approximate dynamic programming 

  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 ...
• The statistical detection of clusters in networks 

  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 ...
• Models for patient-centered appointment scheduling in physician clinics 

  Dogru, Ali Kemal (University of Alabama Libraries, 2018)

  Naive clinical capacity planning, myopic appointment scheduling techniques, and unavoidable appointment interruptions lead to excessive patient waiting time, physician idle time and overtime, which result in inefficient ...
• Medical decision making in patients with chronic diseases 

  Mirghorbani, Seyedeh Saeideh (University of Alabama Libraries, 2018)

  Inefficient resource allocation and planning, expensive treatment costs, and low patient adherence to medication plans lead to undesired health outcomes in patients with chronic diseases. Operation research and stochastic ...
• On robust estimation of multiple change points in multivariate and matrix processes 

  Melnykov, Yana (University of Alabama Libraries, 2017)

  There are numerous areas of human activities where various processes are observed over time. If the conditions of the process change, it can be reflected through the shift in observed response values. The detection and ...
• A predictive model for highway accidents and two papers on clustering averaging 

  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 ...
• Some contributions to univariate nonparametric tests and control charts 

  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 ...
• Integrated supply chain models and analysis 

  Zhi, Jianing (University of Alabama Libraries, 2016)

  This dissertation reports on three integrated supply chain problems that incorporate several key components of modern supply chains, including location, transportation, inventory, and customer selection. The first part of ...
• The development of diagnostic tools for mixture modeling and model-based clustering 

  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 ...
• Online vehicle routing problems and analysis 

  Capar, Ibrahim (University of Alabama Libraries, 2016)

  Traditional optimization models, whether classified as deterministic or stochastic, require problem related parameters to be known with certainty or according to a probability distribution. However, in many real life ...
• Supply chain network design and analysis under disruptions 

  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 ...
• Reduced bias prediction regions and estimators of the original response when using data transformations 

  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 ...
• Advances in mixture modeling and model based 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 ...
• Location privacy exchange behavior: development and testing of two proposed models 

  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 ...
• On the detection and estimation of changes in a process mean based on kernel estimators 

  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 ...
• Contributions to joint monitoring of location and scale parameters: some theory and applications 

  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 ...
• A study of two special inventory management problems 

  Li, Linda (University of Alabama Libraries, 2016)

  In the dissertation, the author studies two special inventory problems via the technique of optimization. The first problem discusses inventory management in monopoly markets in which utilities are involved. To utility ...

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