• The Development of Statistical Monitoring Scheme and Simulation Model for the Autocorrelated Process 

  Wang, Zhi (University of Alabama Libraries, 2020)

  The modern development in data acquisition and storage technologies have allowed for rapid data collection. One representative example is collecting data via high-sample-rate sensors developed with a rate of hundreds or ...
• Essays on Mixed-Fleet Green Vehicle Routing 

  Koyuncu, Isil (University of Alabama Libraries, 2020)

  This work addresses a family of green vehicle routing problems. Three key operational characteristics distinguish alternative-fuel vehicles (AFVs) from gasoline or diesel vehicles (GDVs): (i) limited driving range before ...
• Model-Based Clustering of Sequential and Directional Data 

  Zhang, Yingying (University of Alabama Libraries, 2020)

  The goal of cluster analysis is to separate objects into distinct groups so that observations in the same group are more similar to each other. A variety of clustering algorithms have been proposed to implement this task, ...
• Statistical Process Monitoring for Some Nonstandard Situations in Estimated Parameters Case 

  Yao, Yuhui (University of Alabama Libraries, 2020)

  Statistical process control (SPC) and monitoring techniques are useful in practice in a variety of applications. Recent advancements in the literature have shown the need for distinguishing between Phase I (retrospective) ...
• Sharing is Caring: Essays on Online Self-Disclosure 

  Nabity-Grover, Teagen M (University of Alabama Libraries, 2020)

  Online self-disclosure has been studied in a variety of disciplines for more than two decades. Self-disclosure is any information about the self communicated to another person; it is generally decomposed into five dimensions: ...
• Some Contributions to Tolerance Intervals and Statistical Process Control 

  Alqurashi, Mosab (University of Alabama Libraries, 2021)

  Tolerance Intervals play an important role in statistical process control along with control charts. When constructing a tolerance interval or a control chart for the mean of a quality characteristic, the normality assumption ...
• Semiparametric Approaches for Dimension Reduction Through Gradient Descent on Manifold 

  Xiao, Qing (University of Alabama Libraries, 2021)

  High-dimensional data arises at an unprecedented speed across various fields. Statistical models might fail on high-dimensional data due to the "curse of dimensionality". Sufficient dimension reduction (SDR) is to extract ...
• Some Contributions to Modern Mixture Modeling and Model-Based Clustering 

  Wang, Yang (University of Alabama Libraries, 2021)

  Clustering analysis is a technique of recognizing groups of similar objects. Based on the finite mixture models, model-based clustering is one of the most popular methods due to its flexibility and interpretability in ...
• Phase II Control Charts for Monitoring Dispersion when Parameters are Estimated 

  Diko, M. D.; Goedhart, R.; Chakraborti, S.; Does, R. J. M. M.; Epprecht, E. K. (2017)

  Shewhart control charts are among the most popular control charts used to monitor process dispersion. To base these control charts on the assumption of known in-control process parameters is often unrealistic. In practice, ...
• Shewhart Control Charts for Dispersion Adjusted for Parameter Estimation 

  Goedhart, Rob; da Silva, Michele M.; Schoonhoven, Marit; Epprecht, Eugenio K.; Chakraborti, Subja; Does, Ronald J. M. M.; Veiga, Álvaro (2017)

  Several recent studies have shown that the number of Phase I samples required for a Phase II control chart with estimated parameters to perform properly may be prohibitively high. Looking for a more practical alternative, ...
• 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 ...
• 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, ...
• 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 ...

View more