Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Institution
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- Utah State University (3)
- California Polytechnic State University, San Luis Obispo (2)
- Claremont Colleges (2)
- GALILEO, University System of Georgia (2)
- Selected Works (2)
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- University of North Dakota (2)
- Chapman University (1)
- City University of New York (CUNY) (1)
- Georgia Southern University (1)
- Loyola University Chicago (1)
- Murray State University (1)
- The University of Akron (1)
- University of Arkansas, Fayetteville (1)
- University of Kentucky (1)
- University of Tennessee, Knoxville (1)
- Ursinus College (1)
- Western Kentucky University (1)
- Publication
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- All Graduate Plan B and other Reports, Spring 1920 to Spring 2023 (2)
- Essential Studies UNDergraduate Showcase (2)
- Journal of Humanistic Mathematics (2)
- Statistics (2)
- All Graduate Theses and Dissertations, Spring 1920 to Summer 2023 (1)
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- Doctoral Dissertations (1)
- Electronic Theses and Dissertations (1)
- Graduate Theses and Dissertations (1)
- Jeffrey S. Morris (1)
- Mahurin Honors College Capstone Experience/Thesis Projects (1)
- Mathematics Ancillary Materials (1)
- Mathematics Grants Collections (1)
- Murray State Theses and Dissertations (1)
- Open Educational Resources (1)
- Political Science: Faculty Publications and Other Works (1)
- Rebecca Mirick (1)
- Statistics and Probability (1)
- Student Scholar Symposium Abstracts and Posters (1)
- Theses and Dissertations--Epidemiology and Biostatistics (1)
- Williams Honors College, Honors Research Projects (1)
- Publication Type
Articles 1 - 24 of 24
Full-Text Articles in Physical Sciences and Mathematics
Teaching Statistics To Msw Students: Comparing Credit And Non-Credit Options, Ashley Davis, Rebecca G. Mirick
Teaching Statistics To Msw Students: Comparing Credit And Non-Credit Options, Ashley Davis, Rebecca G. Mirick
Rebecca Mirick
The Most Important Statistics In Football, Jacob Holmen
The Most Important Statistics In Football, Jacob Holmen
Essential Studies UNDergraduate Showcase
This research is based on the Five Factors that were devised by Bill Connelly of SBNation. The Five Factors of football include Explosiveness, Efficiency, Field Position, Finishing Drives, and Turnovers. Each factor is composed of associated statistics that when put together make up the most important statistics in football. This research includes the analysis of all 857 FBS (the highest level of NCAA Division I football) games from the 2016 season. Data was analyzed through the use of an Excel spreadsheet. Five different statistics were looked at, each associated with one of the Five Factors. The statistics include Yards per …
Analytics And Baseball's New Generation, John Roche
Analytics And Baseball's New Generation, John Roche
Essential Studies UNDergraduate Showcase
Major League Baseball has been a catalyst for making decisions in sports and competition from a purely mathematical viewpoint. We have seen teams utilize unique on-field player alignments and roster-building strategies based on statistical observations and applications of math. This project examines the advantages Sabermetrics and analytics present within the sport. Untapped statistical categories that could further the success of teams in the future is also briefly discussed.
Bayesian Model For Detection Of Outliers In Linear Regression With Application To Longitudinal Data, Zahraa Al-Sharea
Bayesian Model For Detection Of Outliers In Linear Regression With Application To Longitudinal Data, Zahraa Al-Sharea
Graduate Theses and Dissertations
Outlier detection is one of the most important challenges with many present-day applications. Outliers can occur due to uncertainty in data generating mechanisms or due to an error in data recording/processing. Outliers can drastically change the study's results and make predictions less reliable. Detecting outliers in longitudinal studies is quite challenging because this kind of study is working with observations that change over time. Therefore, the same subject can produce an outlier at one point in time produce regular observations at all other time points. A Bayesian hierarchical modeling assigns parameters that can quantify whether each observation is an outlier …
Quantifying Certainty: The P-Value, Dominic Klyve
Quantifying Certainty: The P-Value, Dominic Klyve
Statistics and Probability
No abstract provided.
Investigating The Student Enrollment Decision At Wku, Alec Brown
Investigating The Student Enrollment Decision At Wku, Alec Brown
Mahurin Honors College Capstone Experience/Thesis Projects
The purpose of this research is to investigate the relationships between the enrollment decision of first-time, first-year students admitted to Western Kentucky University and the amount of financial aid awarded, as well as demographic information. The Division of Enrollment Management provided a SAS dataset containing various information about all WKU students admitted in 2013, 2014, and 2015. Additionally, information about the 2016 class of admitted students was provided. The data has been analyzed in SAS Enterprise Miner. We performed analysis using decision tree modeling and logistic regression modeling. Results of these two procedures indicated the importance of credit hours earned …
Imputation For Random Forests, Joshua Young
Imputation For Random Forests, Joshua Young
All Graduate Plan B and other Reports, Spring 1920 to Spring 2023
This project introduces two new methods for imputation of missing data in random forests. The new methods are compared against other frequently used imputation methods, including those used in the randomForest package in R. To test the effectiveness of these methods, missing data are imputed into datasets that contain two missing data mechanisms including missing at random and missing completely at random. After imputation, random forests are run on the data and accuracies for the predictions are obtained. Speed is an important aspect in computing; the speeds for all the tested methods are also compared.
One of the new methods …
Data Analysis Methods Using Persistence Diagrams, Andrew Marchese
Data Analysis Methods Using Persistence Diagrams, Andrew Marchese
Doctoral Dissertations
In recent years, persistent homology techniques have been used to study data and dynamical systems. Using these techniques, information about the shape and geometry of the data and systems leads to important information regarding the periodicity, bistability, and chaos of the underlying systems. In this thesis, we study all aspects of the application of persistent homology to data analysis. In particular, we introduce a new distance on the space of persistence diagrams, and show that it is useful in detecting changes in geometry and topology, which is essential for the supervised learning problem. Moreover, we introduce a clustering framework directly …
A Comparison Of Five Statistical Methods For Predicting Stream Temperature Across Stream Networks, Maike F. Holthuijzen
A Comparison Of Five Statistical Methods For Predicting Stream Temperature Across Stream Networks, Maike F. Holthuijzen
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
The health of freshwater aquatic systems, particularly stream networks, is mainly influenced by water temperature, which controls biological processes and influences species distributions and aquatic biodiversity. Thermal regimes of rivers are likely to change in the future, due to climate change and other anthropogenic impacts, and our ability to predict stream temperatures will be critical in understanding distribution shifts of aquatic biota. Spatial statistical network models take into account spatial relationships but have drawbacks, including high computation times and data pre-processing requirements. Machine learning techniques and generalized additive models (GAM) are promising alternatives to the SSN model. Two machine learning …
Elementary Statistics (Augusta), Neal Smith, Daphne Skipper, Marvalisa Payne, Robert Scott, Christopher Terry
Elementary Statistics (Augusta), Neal Smith, Daphne Skipper, Marvalisa Payne, Robert Scott, Christopher Terry
Mathematics Grants Collections
This Grants Collection for Elementary Statistics was created under a Round Four ALG Textbook Transformation Grant.
Affordable Learning Georgia Grants Collections are intended to provide faculty with the frameworks to quickly implement or revise the same materials as a Textbook Transformation Grants team, along with the aims and lessons learned from project teams during the implementation process.
Documents are in .pdf format, with a separate .docx (Word) version available for download. Each collection contains the following materials:
- Linked Syllabus
- Initial Proposal
- Final Report
Lecture Notes For Openstax Introductory Statistics, Daphne Skipper, Neal Smith, Robert Scott, Marvalisa Payne, Christopher Terry
Lecture Notes For Openstax Introductory Statistics, Daphne Skipper, Neal Smith, Robert Scott, Marvalisa Payne, Christopher Terry
Mathematics Ancillary Materials
Authors' Description:
"Rising textbook costs are a potential barrier to student progression and retention. Therefore, a group of faculty in the department of Mathematics at Augusta University has decided to adopt an open textbook for use in an Elementary Statistics course.
We have developed a set of materials to accompany the OpenStax Introductory Statistics textbook by Illowsky and Dean including lecture/study notes and projects.
These materials are meant as a supplement for teachers and learners who are using the OpenStax Introductory Statistics textbook by Illowsky and Dean. These materials also incorporate the use of other technologies (R and Excel) in …
Analyzing Baseball Data With R, Claudia Sison
Comparing Baseball Players Using Expected Runs In Shiny, Spencer Rodrigues
Comparing Baseball Players Using Expected Runs In Shiny, Spencer Rodrigues
Statistics
No abstract provided.
Constitutionalism And Democracy Dataset, Version 1.0, Todd A. Eisenstadt, Carl Levan, Tofigh Maboudi
Constitutionalism And Democracy Dataset, Version 1.0, Todd A. Eisenstadt, Carl Levan, Tofigh Maboudi
Political Science: Faculty Publications and Other Works
The main objective of the CDD is to quantify the process of constitution-making since 1974. This is the first public release of any data on the process of constitution-making. This release includes data on 144 national constitutions promulgated in 119 countries from 1974 to 2014. The unit of analysis in the data is national constitutions. The data in this release includes only “new” constitutions and does not include suspended, re-installed, amended, or interim constitutions. In this release, only countries with a population larger than 500,000 are included. The authors intend to update the data by including all countries, expanding the …
Gilmore Girls And Instagram: A Statistical Look At The Popularity Of The Television Show Through The Lens Of An Instagram Page, Brittany Simmons
Gilmore Girls And Instagram: A Statistical Look At The Popularity Of The Television Show Through The Lens Of An Instagram Page, Brittany Simmons
Student Scholar Symposium Abstracts and Posters
After going on the Warner Brothers Tour in December of 2015, I created a Gilmore Girls Instagram account. This account, which started off as a way for me to create edits of the show and post my photos from the tour turned into something bigger than I ever could have imagined. In just over a year I have over 55,000 followers. I post content including revival news, merchandise, and edits of the show that have been featured in Entertainment Weekly, Bustle, E! News, People Magazine, Yahoo News, & GilmoreNews.
I created a dataset of qualitative and quantitative outcomes from my …
Statistical Methods For Assessing Individual Oocyte Viability Through Gene Expression Profiles, Michael O. Bishop
Statistical Methods For Assessing Individual Oocyte Viability Through Gene Expression Profiles, Michael O. Bishop
All Graduate Plan B and other Reports, Spring 1920 to Spring 2023
Abstract
Statistical Methods for Assessing Individual Oocyte Viability Through Gene Expression Profiles
By
Michael O. Bishop
Utah State University, 2017
Major Professor: Dr. John R. Stevens
Department: Mathematics and Statistics
Oocytes are the precursor cells to the female gamete, or egg. While reproduction may vary from species to species, within humans and most domesticated animals, the oocyte maturation process is fairly similar. As an oocyte matures, there are various processes that take place, all of which have an effect on the viability of the individual oocyte. Barring outside damage that may come to the oocyte, one of the primary reasons …
The Battle Against Malaria: A Teachable Moment, Randy K. Schwartz
The Battle Against Malaria: A Teachable Moment, Randy K. Schwartz
Journal of Humanistic Mathematics
Malaria has been humanity’s worst public health problem throughout recorded history. Mathematical methods are needed to understand which factors are relevant to the disease and to develop counter-measures against it. This article and the accompanying exercises provide examples of those methods for use in lower- or upper-level courses dealing with probability, statistics, or population modeling. These can be used to illustrate such concepts as correlation, causation, conditional probability, and independence. The article explains how the apparent link between sickle cell trait and resistance to malaria was first verified in Uganda using the chi-squared probability distribution. It goes on to explain …
Moneyball For Creative Writers: A Statistical Strategy For Publishing Your Work, Jon Wesick
Moneyball For Creative Writers: A Statistical Strategy For Publishing Your Work, Jon Wesick
Journal of Humanistic Mathematics
Writers face a challenge getting their poems and stories published. Rather than following the traditional strategy I model creative writing submission as a statistical process and explore the use of numerical metrics to maximize publications.
City Life - Inquiry And Problem Solving Exercise, Milena Cuellar
City Life - Inquiry And Problem Solving Exercise, Milena Cuellar
Open Educational Resources
No abstract provided.
An Exploratory Statistical Method For Finding Interactions In A Large Dataset With An Application Toward Periodontal Diseases, Joshua Lambert
An Exploratory Statistical Method For Finding Interactions In A Large Dataset With An Application Toward Periodontal Diseases, Joshua Lambert
Theses and Dissertations--Epidemiology and Biostatistics
It is estimated that Periodontal Diseases effects up to 90% of the adult population. Given the complexity of the host environment, many factors contribute to expression of the disease. Age, Gender, Socioeconomic Status, Smoking Status, and Race/Ethnicity are all known risk factors, as well as a handful of known comorbidities. Certain vitamins and minerals have been shown to be protective for the disease, while some toxins and chemicals have been associated with an increased prevalence. The role of toxins, chemicals, vitamins, and minerals in relation to disease is believed to be complex and potentially modified by known risk factors. A …
Neural Network Predictions Of A Simulation-Based Statistical And Graph Theoretic Study Of The Board Game Risk, Jacob Munson
Neural Network Predictions Of A Simulation-Based Statistical And Graph Theoretic Study Of The Board Game Risk, Jacob Munson
Murray State Theses and Dissertations
We translate the RISK board into a graph which undergoes updates as the game advances. The dissection of the game into a network model in discrete time is a novel approach to examining RISK. A review of the existing statistical findings of skirmishes in RISK is provided. The graphical changes are accompanied by an examination of the statistical properties of RISK. The game is modeled as a discrete time dynamic network graph, with the various features of the game modeled as properties of the network at a given time. As the network is computationally intensive to implement, results are produced …
Statistics-Bierce Library Study, Tyler J. Hushour
Statistics-Bierce Library Study, Tyler J. Hushour
Williams Honors College, Honors Research Projects
This is a report from two surveys that I created and administered to students and faculty at Bierce library who came to the Circulation Desk or the Tech Desk, as well as some of my other findings when periodically looking around the library to see where students like to study or hang-out. There was a written survey given at the Circulation Desk, and a different survey given at the Tech Check-Out Desk. The project is for Melanie Smith-Farrell, the head of Access Services, and is based on a similar study Ian McCullough did in the science library. While this is …
Quasi-Random Action Selection In Markov Decision Processes, Samuel D. Walker
Quasi-Random Action Selection In Markov Decision Processes, Samuel D. Walker
Electronic Theses and Dissertations
In Markov decision processes an operator exploits known data regarding the environment it inhabits. The information exploited is learned from random exploration of the state-action space. This paper proposes to optimize exploration through the implementation of quasi-random sequences in both discrete and continuous state-action spaces. For the discrete case a permutation is applied to the indices of the action space to avoid repetitive behavior. In the continuous case sequences of low discrepancy, such as Halton sequences, are utilized to disperse the actions more uniformly.
Statistical Contributions To Bioinformatics: Design, Modeling, Structure Learning, And Integration, Jeffrey S. Morris, Veera Baladandayuthapani
Statistical Contributions To Bioinformatics: Design, Modeling, Structure Learning, And Integration, Jeffrey S. Morris, Veera Baladandayuthapani
Jeffrey S. Morris