A Grammar For Reproducible And Painless Extract-Transform-Load Operations On Medium Data,
2019
Smith College
A Grammar For Reproducible And Painless Extract-Transform-Load Operations On Medium Data, Benjamin S. Baumer
Statistical and Data Sciences: Faculty Publications
Many interesting datasets available on the Internet are of a medium size—too big to fit into a personal computer’s memory, but not so large that they would not fit comfortably on its hard disk. In the coming years, datasets of this magnitude will inform vital research in a wide array of application domains. However, due to a variety of constraints they are cumbersome to ingest, wrangle, analyze, and share in a reproducible fashion. These obstructions hamper thorough peer-review and thus disrupt the forward progress of science. We propose a predictable and pipeable framework for R (the state-of-the-art statistical computing environment) …
Incorporating Pathway Information Into Feature Selection Towards Better Performed Gene Signatures,
2019
Jilin University, China
Incorporating Pathway Information Into Feature Selection Towards Better Performed Gene Signatures, Suyan Tian, Chi Wang, Bing Wang
Biostatistics Faculty Publications
To analyze gene expression data with sophisticated grouping structures and to extract hidden patterns from such data, feature selection is of critical importance. It is well known that genes do not function in isolation but rather work together within various metabolic, regulatory, and signaling pathways. If the biological knowledge contained within these pathways is taken into account, the resulting method is a pathway-based algorithm. Studies have demonstrated that a pathway-based method usually outperforms its gene-based counterpart in which no biological knowledge is considered. In this article, a pathway-based feature selection is firstly divided into three major categories, namely, pathway-level selection, …
The Housing Bubble,
2019
Louisiana Tech University
The Housing Bubble, Shelby Brown
Mathematics Senior Capstone Papers
The housing market is constantly changing. Fluctuating housing prices and a flooded market have home buyers hesitant to commit and sellers on edge. What if the prospective buyer or seller could take this financial step already knowing the state of the market? The purpose of this project is to attempt to predict the next housing bubble. A multivariable regression analysis is conducted using relevant data including variables such as average property prices, number of foreclosures, etc. in the United States beginning in the year 2009. The trends, patterns, and models created from the regression analysis are compared against data models …
Angry Birds Fly High Again With Data Analytics,
2019
Singapore Management University
Angry Birds Fly High Again With Data Analytics, Singapore Management University
Perspectives@SMU
User feedback has transformed Rovio’s culture and game design
Historical Study Of The Relationship Between The Federal Funds Rate And The Inflation Rate,
2019
St. John Fisher University
Historical Study Of The Relationship Between The Federal Funds Rate And The Inflation Rate, Aaron Wilkins
Undergraduate External Publications
It is believed that in order to control high inflation rates, the Federal Reserve Bank (“the Fed”) increases the federal funds rate and when the inflation rate gets low, the Fed takes the opposite approach. (The federal funds rate is a rate of interest that banks charge each other to lend funds and stay above the reserve requirement, set by the government.) This project examines the relationship between the federal funds rate and the inflation rate. Sixty-five years of historical inflation rates and federal funds rates were used as the basis for this exploration. Because a time lag between the …
The Evolution Of Data Science: A New Mode Of Knowledge Production,
2019
Kennesaw State University
The Evolution Of Data Science: A New Mode Of Knowledge Production, Jennifer Lewis Priestley, Robert J. Mcgrath
Faculty Articles
Is data science a new field of study or simply an extension or specialization of a discipline that already exists, such as statistics, computer science, or mathematics? This article explores the evolution of data science as a potentially new academic discipline, which has evolved as a function of new problem sets that established disciplines have been ill-prepared to address. The authors find that this newly-evolved discipline can be viewed through the lens of a new mode of knowledge production and is characterized by transdisciplinarity collaboration with the private sector and increased accountability. Lessons from this evolution can inform knowledge production …
Measuring Birth Trauma Rates In Maine Using Public Data,
2019
University of Southern Maine
Measuring Birth Trauma Rates In Maine Using Public Data, Mike Lapika
Thinking Matters Symposium Archive
An increasing number of states are creating databases that collect and organize health insurance claims from public and private health care payers. Since December 2016, at least 18 states have these “all-payer claims databases” (APCDs), including Maine. APCDs are intended to inform cost containment and quality improvement by increasing transparency and informing consumer choice. For this project, we assessed how Maine’s APCD data might be used to produce standardized quality measures across facilities in the state. Specifically, we tested a birth outcome quality measure developed by the Agency for Healthcare Research and Quality (AHRQ), Birth Trauma – Injury to Neonate …
Dice Mythbusters,
2019
Western Kentucky University
Dice Mythbusters, C. Warren Campbell, William P. Dolan
Student Research Conference Select Presentations
All dice are unfair because they cannot be manufactured with absolute precision. However, some dice are more unfair than others. Each year hundreds of millions of dice are sold worldwide. Dice commonly used in role playing games are 4-sided (D4), 6-sided (D6), 8-sided (D8), 10-sided (D10), 12-sided (D12), and 20-sided (D20). Most of these are manufactured using plastic mold injection and rock tumbler methods. This method can result in dimensional inaccuracies in the dice and sometimes density inhomogeneities. In 3000-roll tests of eleven D20 dice only three tested fair. In a running chi square test it was shown that for …
Sensitivity Analyses For Tumor Growth Models,
2019
Western Kentucky University
Sensitivity Analyses For Tumor Growth Models, Ruchini Dilinika Mendis
Masters Theses & Specialist Projects
This study consists of the sensitivity analysis for two previously developed tumor growth models: Gompertz model and quotient model. The two models are considered in both continuous and discrete time. In continuous time, model parameters are estimated using least-square method, while in discrete time, the partial-sum method is used. Moreover, frequentist and Bayesian methods are used to construct confidence intervals and credible intervals for the model parameters. We apply the Markov Chain Monte Carlo (MCMC) techniques with the Random Walk Metropolis algorithm with Non-informative Prior and the Delayed Rejection Adoptive Metropolis (DRAM) algorithm to construct parameters' posterior distributions and then …
Beach Composition Preferences For Nesting Populations Of Leatherback Sea Turtles (Dermochelys Coriacea), Armila Beach, Guna Yala Comarca,
2019
SIT Study Abroad
Beach Composition Preferences For Nesting Populations Of Leatherback Sea Turtles (Dermochelys Coriacea), Armila Beach, Guna Yala Comarca, Scott Campbell
Independent Study Project (ISP) Collection
Sea turtles play a critical role in marine ecosystems all over the world, including the Caribbean Sea. However, many sea turtle species are under threat due to anthropogenic impacts, such as habitat destruction and fisheries bycatch. This has caused significant declines in sea turtle populations around the world, which in turn has impacted marine ecosystems where sea turtles play critical roles in proper ecosystem functioning. A crucial part of the sea turtle life cycle that has been threatened by anthropogenic factors is nesting. Sea turtles rely on unspoiled beaches with particular physical characteristics for laying their eggs. One of the …
Avian Upsloping In The Tropics: Myioborus Miniatus And Myioborus Torquatus Abundance In Different Altitudinal Ranges In Boquete, Chiriquí, Panama,
2019
SIT Study Abroad
Avian Upsloping In The Tropics: Myioborus Miniatus And Myioborus Torquatus Abundance In Different Altitudinal Ranges In Boquete, Chiriquí, Panama, Julie Yoon
Independent Study Project (ISP) Collection
Direct and indirect effects of warming global temperatures due to climate change are known to cause upwards shifts of the altitudinal ranges of some avian species. Most susceptible to this trend and at risk of riding the “escalator to extinction” are endemic species in tropical montane cloud forests, such as Myioborus torquatus. There are abiotic factors, like temperature, and biotic interactions, such as the presence of its altitudinal neighbor Myioborus miniatus, that limit the altitudinal range of this bird species in the Neotropics. This study measured abundance of M. miniatus and M. torquatus populations at different altitudinal ranges by point …
A Survey Of Beetle Diversity (Order Coleoptera) On Lizard Island,
2019
SIT Study Abroad
A Survey Of Beetle Diversity (Order Coleoptera) On Lizard Island, John Mccormack
Independent Study Project (ISP) Collection
The beetles (order Coleoptera) of Lizard Island, a small granitic island on the mid shelf of the Great Barrier Reef, have never been assessed in the scientific literature. Prior to our work, only a single beetle genus had been documented on the island (Caryotrypes Decelle, 1968), based on a single specimen collected in 1993 (Reid & Beatson 2013). We conducted a survey of Lizard Island in April 2019 to determine which beetle families are present on the island and which families are the most diverse. The survey also assessed the beetle diversity in different habitats on the island and two …
Rates Of Relative Sea Level Rise Along The United States East Coast,
2019
Longwood University
Rates Of Relative Sea Level Rise Along The United States East Coast, Jesse N. Beckman, Joseph E. Garcia
Virginia Journal of Science
Recent studies have indicated that some coastal areas, including the East Coast of the United States, are experiencing higher rates of sea level rise than the global average. Rates of relative sea level rise are affected by changes in ocean dynamics, as well as by surface elevation fluctuations due to local land subsidence or uplift. In this study, we derived long-term trends in annual mean relative sea level using tide gauge data obtained from the Permanent Service for Mean Sea Level for stations along the United States East Coast. Stations were grouped by location into the Northeast, Mid-Atlantic, and Southeast …
Accurate Inference For Repeated Measures In High Dimensions,
2019
Loyola University Chicago
Accurate Inference For Repeated Measures In High Dimensions, Xiaoli Kong, Solomon W. Harrar
Mathematics and Statistics: Faculty Publications and Other Works
This paper proposes inferential methods for high-dimensional repeated measures in factorial designs. High-dimensional refers to the situation where the dimension is growing with sample size such that either one could be larger than the other. The most important contribution relates to high-accuracy of the methods in the sense that p-values, for example, are accurate up to the second-order. Second-order accuracy in sample size as well as dimension is achieved by obtaining asymptotic expansion of the distribution of the test statistics, and estimation of the parameters of the approximate distribution with second-order consistency. The methods are presented in a unified and …
Daily And Seasonal Variability Of Offshore Wind Power On The Central California Coast And Statewide Demand,
2019
California Polytechnic State University, San Luis Obispo
Daily And Seasonal Variability Of Offshore Wind Power On The Central California Coast And Statewide Demand, Matthew Douglas Kehrli
Physics
No abstract provided.
Efficient Class Of Estimators For Finite Population Mean Using Auxiliary Information In Two-Occasion Successive Sampling,
2019
Indian Institute of Technology (ISM)
Efficient Class Of Estimators For Finite Population Mean Using Auxiliary Information In Two-Occasion Successive Sampling, G. N. Singh, Mohd Khalid
Journal of Modern Applied Statistical Methods
In the case of sampling on two occasions, a class of estimators is considered which uses information on the first occasion as well as the second occasion in order to estimate the population means on the current (second) occasion. The usefulness of auxiliary information in enhancing the efficiency of this estimation is examined through the class of proposed estimators. Some properties of the class of estimators and a strategy of optimum replacement are discussed. The proposed class of estimators were empirically compared with the sample mean estimator in the case of no matching. The established optimum estimator, which is a …
A Data-Driven Approach For Modeling Agents,
2019
Old Dominion University
A Data-Driven Approach For Modeling Agents, Hamdi Kavak
Computational Modeling & Simulation Engineering Theses & Dissertations
Agents are commonly created on a set of simple rules driven by theories, hypotheses, and assumptions. Such modeling premise has limited use of real-world data and is challenged when modeling real-world systems due to the lack of empirical grounding. Simultaneously, the last decade has witnessed the production and availability of large-scale data from various sensors that carry behavioral signals. These data sources have the potential to change the way we create agent-based models; from simple rules to driven by data. Despite this opportunity, the literature has neglected to offer a modeling approach to generate granular agent behaviors from data, creating …
Latent Choice Models To Account For Misclassification Errors In Discrete Transportation Data,
2019
Old Dominion University
Latent Choice Models To Account For Misclassification Errors In Discrete Transportation Data, Lacramioara Elena Balan
Civil & Environmental Engineering Theses & Dissertations
One of the most fundamental tasks when it comes to analyzing data using statistical methods is to understand the relationship between the explanatory variables and the outcome. Misclassification of explanatory variables is a common risk when using statistical modeling techniques. In this dissertation, we define ‘misclassification,’ as a response that is reported or recorded in the wrong category; for example, a variable is registered as a one when it should have the value zero. Misclassification can easily happen in any data; for example, in an interview setting where the respondent misunderstands the question or the interviewer checks the wrong box. …
Spatio-Temporal Cluster Detection And Local Moran Statistics Of Point Processes,
2019
Old Dominion University
Spatio-Temporal Cluster Detection And Local Moran Statistics Of Point Processes, Jennifer L. Matthews
Mathematics & Statistics Theses & Dissertations
Moran's index is a statistic that measures spatial dependence, quantifying the degree of dispersion or clustering of point processes and events in some location/area. Recognizing that a single Moran's index may not give a sufficient summary of the spatial autocorrelation measure, a local indicator of spatial association (LISA) has gained popularity. Accordingly, we propose extending LISAs to time after partitioning the area and computing a Moran-type statistic for each subarea. Patterns between the local neighbors are unveiled that would not otherwise be apparent. We consider the measures of Moran statistics while incorporating a time factor under simulated multilevel Palm distribution, …
Disparities In Sentencing: The Impact Of Race, Gender And Mental Health,
2019
Old Dominion University
Disparities In Sentencing: The Impact Of Race, Gender And Mental Health, Briana Paige
Sociology & Criminal Justice Theses & Dissertations
The purpose of this study is to examine the effect that race and mental health play on sentence length in the United States. Mentally ill people are gradually being confined in prisons across the United States and there is an absence of literature that looks at the interaction of race and mental health in regards to sentencing. The focal concerns perspective provides the theoretical framework that guides this study. Multiple linear regressions were used to examine both state and federal prison inmates to examine the effect race, mental health and other extra-legal factors play on sentence length. Results show that …
