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  • A New Algorithm for Computing the Veech Group of a Translation Surface

    Creator:
    Edwards, Brandon
    Abstract:
    We give a new characterization of elements in the Veech group of a translation surface. This provides a computational test for Veech group membership. We use this computational test in an algorithm that detects when the Veech group is a lattice (has co-finite area), and in this case computes a...
    Resource Type:
    Dissertation
    Full Text:
    O1, O2 2 SO(2,R) and D = 2 6 4 t 0 0 t�1 3 7 5 with t 2 (1,1). The image of B(0, ⇢) under

  • Statistical enhancement of support vector machines

    Creator:
    Taylor, Aimee E.
    Abstract:
    Support Vector Machines (SVM) and Random Forests (RF) have consistently outperformed other machine learning algorithms on a variety of problems. SVM can be used for classification and regression on many types of data (e.g. nonlinear, high dimensional), but cannot handle missing or mixed data. This research implements a permutation-based variable...
    Resource Type:
    Dissertation

  • On the evolution of correlated color traits in garter snakes

    Creator:
    Westphal, Michael F.
    Abstract:
    How complex traits evolve continues to be a major focus of evolutionary investigation. A current topic of debate is the hypothesis that the phenotypic integration of complex traits gives rise to evolutionary constraints. I studied two color traits in the common garter snake, Thamnophis sirtalis, that show a high level...
    Resource Type:
    Dissertation
    Full Text:
    advisors, I would never have come as far as I have. Thanks go to Dr. Robert Smythe and Dr. Mark Harmon

  • Likelihood analysis of the multivariate ordinal probit model for repeated and spatial ordered categorical responses

    Creator:
    Li, Yonghai
    Abstract:
    This dissertation is about the likelihood analysis of ordered categorical responses in a longitudinal/spatial study, meaning regression-like analysis when the response variable is categorical with ordered categories, and is measured repeatedly over time or space on the experimental or sampling units. Particular attention is given to the multivariate ordinal probit...
    Resource Type:
    Dissertation
    Full Text:
    thankful to Dr. Darius Adams, Dr. Alix Gitelman, Dr. Annie Qu, and Dr. Bob Smythe for serving as my

  • Developing a basis for characterizing precision of estimates produced from non-probability samples on continuous domains

    Creator:
    Cooper, Cynthia
    Abstract:
    This research addresses sample process variance estimation on continuous domains and for non-probability samples in particular. The motivation for the research is a scenario in which a program has collected non-probability samples for which there is interest in characterizing how much an extrapolation to the domain would vary given similarly...
    Resource Type:
    Dissertation
    Full Text:
    .................................................................................................................. 50 3-4 Distance of first occurrence of "excessive" deviation from theoretical K(t) function of a

  • Stability Analysis of Coupled Discrete Time Systems On an Invariant Cone

    Creator:
    Fletcher, Sally
    Abstract:
    This paper concerns a question that frequently occurs in various applications: Is any dispersal coupling of stable discrete linear systems, also stable? Although it has been known this is not the case, we shall identify a reasonably diverse class of systems for which it is true. We shall employ the...
    Resource Type:
    Masters Thesis
    Full Text:
    organism with only two stages, adults and offspring, the vector x1 x2  t would indicate there are

  • College Instructor Preparation : Enough to Feel Comfortable?

    Creator:
    Fleming, Eric
    Abstract:
    Over several decades, much attention has been paid to the preparation of K-12 teachers. More recently, the body of literature on graduate teaching assistants' preparation for teaching has begun to increase. Since many graduate teaching assistants are hired as community college and university instructors, it is important to understand how...
    Resource Type:
    Masters Thesis

  • Probabilistic models for classification of bioacoustic data

    Creator:
    Lakshminarayanan, Balaji
    Abstract:
    Probabilistic models have been successfully applied for a wide variety of problems, such as but not limited to information retrieval, computer vision, bio-informatics and speech processing. Probabilistic models allow us to encode our assumptions about the data in an elegant fashion and enable us to perform machine learning tasks such...
    Resource Type:
    Masters Thesis
    Full Text:
    Dr. Robert Smythe and Dr. Xiaoli Fern for agreeing to be on my committee. I was introduced to many

  • Unconditional estimating equation approaches for missing data

    Creator:
    Lu, Lin
    Abstract:
    Missing data can lead to biased and inefficient estimation if the missing mechanism is not taken into account in the analysis. In this dissertation we propose two estimators that, under fairly general conditions, are asymptotically unbiased. The first proposed estimator assume the data are missing at random (MAR) and does...
    Resource Type:
    Dissertation
    Full Text:
    and Dr. Bob Smythe, for their insightful suggestions, time spent in reading this dissertation and

  • Essays on technology, trade, and welfare

    Creator:
    Ruan, Jun
    Abstract:
    Technology is a key determinant of comparative advantage among nations. As information technology improves and the nations of the world become economically integrated, concern arises over the dissipation of high-income economies’ technological advantage. The three essays in this dissertation explore the trade and technology relationship, which is essential to economic...
    Resource Type:
    Dissertation
    Full Text:
    also like to thank Dr. Robert Smythe for his supervision of my study in statistics. Thank you to Dr