Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Social and Behavioral Sciences (9)
- Statistics and Probability (6)
- Computer Sciences (5)
- Oceanography (5)
- Oceanography and Atmospheric Sciences and Meteorology (5)
-
- Data Science (4)
- Education (3)
- Higher Education (3)
- Library and Information Science (3)
- Curriculum and Instruction (2)
- Earth Sciences (2)
- Educational Methods (2)
- Engineering (2)
- Environmental Sciences (2)
- Life Sciences (2)
- Psychology (2)
- Science and Mathematics Education (2)
- Anthropology (1)
- Applied Statistics (1)
- Artificial Intelligence and Robotics (1)
- Bioinformatics (1)
- Business (1)
- Cataloging and Metadata (1)
- Civil and Environmental Engineering (1)
- Cognition and Perception (1)
- Databases and Information Systems (1)
- Design of Experiments and Sample Surveys (1)
- Economics (1)
- Educational Assessment, Evaluation, and Research (1)
- Institution
-
- William & Mary (4)
- Ursinus College (2)
- Western University (2)
- Bard College (1)
- Harrisburg University of Science and Technology (1)
-
- Old Dominion University (1)
- University of Arkansas, Fayetteville (1)
- University of Georgia School of Law (1)
- University of Kentucky (1)
- University of Pittsburgh School of Law (1)
- University of San Diego (1)
- University of South Carolina (1)
- University of South Florida (1)
- University of Vermont (1)
- University of Wisconsin Milwaukee (1)
- University of Wollongong (1)
- Wayne State University (1)
- Publication
-
- Miscellaneous (4)
- Statistics and Probability (2)
- Book Chapters (1)
- Graduate College Dissertations and Theses (1)
- Graduate Theses and Dissertations (1)
-
- IGC Proceedings (1997-2023) (1)
- International Journal of Geospatial and Environmental Research (1)
- Journal of Modern Applied Statistical Methods (1)
- Numeracy (1)
- OES Faculty Publications (1)
- Other Student Works (1)
- Presentations (1)
- SMART Infrastructure Facility - Papers (1)
- San Diego Regional Quality of Life Dashboard (1)
- Senior Projects Fall 2020 (1)
- Senior Theses (1)
- Western Libraries Presentations (1)
- Western Libraries Publications (1)
- Publication Type
Articles 1 - 22 of 22
Full-Text Articles in Physical Sciences and Mathematics
Data And Assessment Management In Collegiate Recreation, Jeana Carow
Data And Assessment Management In Collegiate Recreation, Jeana Carow
Graduate Theses and Dissertations
Collegiate recreation programs and centers typically provide traditional programming space in addition to a range of physical activity spaces and resources, as a valuable part of the student experience. The external pressures of identifying and communicating departmental value and impact on the campus community has resulted in collegiate recreation departments’ use of data to communicate the effectiveness and impact of their work. The purpose of the study was to identify the data collection and assessment management practices of collegiate recreation departments, particularly focusing on the organization of data and assessment strategies as well as data collection, storage, reporting, analyzing, and …
Logistic Regression Under Sparse Data Conditions, David A. Walker, Thomas J. Smith
Logistic Regression Under Sparse Data Conditions, David A. Walker, Thomas J. Smith
Journal of Modern Applied Statistical Methods
The impact of sparse data conditions was examined among one or more predictor variables in logistic regression and assessed the effectiveness of the Firth (1993) procedure in reducing potential parameter estimation bias. Results indicated sparseness in binary predictors introduces bias that is substantial with small sample sizes, and the Firth procedure can effectively correct this bias.
Data, Stats, Go: Navigating The Intersections Of Cataloging, E-Resource, And Web Analytics Reporting, Rachel S. Evans, Wendy Moore, Jessica Pasquale, Andre Davison
Data, Stats, Go: Navigating The Intersections Of Cataloging, E-Resource, And Web Analytics Reporting, Rachel S. Evans, Wendy Moore, Jessica Pasquale, Andre Davison
Presentations
Do you trudge through gathering statistics at fiscal or calendar year-end? Do you wonder why you track certain things, thinking many seem outdated or irrelevant? Many places seem to keep counting certain statistics because "that's what they've always done." For e-resources, how do you integrate those with physical counts and reconcile the variations (updated e-resources versus re-cataloged physical items)? What about repository downloads and other web traffic? The quantity of stats that libraries track is staggering and keeps growing. This program will encourage attendees to stop and evaluate what and why they're gathering data and help identify possible alternatives to …
Methane Emission Estimated From Different Cattle Intake Data In Heifers Grazing A Tropical Pasture, José Augusto Imaz, O. Hernández, D. Dos Santos, A. Radrizzani, J. I. Arroquy
Methane Emission Estimated From Different Cattle Intake Data In Heifers Grazing A Tropical Pasture, José Augusto Imaz, O. Hernández, D. Dos Santos, A. Radrizzani, J. I. Arroquy
IGC Proceedings (1997-2023)
The quantification of methane (CH4) from enteric fermentation related to cattle diet is a useful tool to identify strategies to mitigate greenhouse gas emissions. This is even important in tropical and subtropical regions due to the lack of CH4 estimations in beef cattle, particularly from Bos Indicus breeds grazing tropical grasses (Kurihara et al., 1999). Several modelling approaches have been developed in order to predict CH4 emission. However, the use of these models has limitations associated with uncertainty information required such as feed intake (FI), composition of the selected diet and animal responses (Gonzalez et …
Exploratory Spatial Data Analysis In Traffic Safety, Amin Azimian, Dimitra Pyrialakou
Exploratory Spatial Data Analysis In Traffic Safety, Amin Azimian, Dimitra Pyrialakou
International Journal of Geospatial and Environmental Research
This paper presents an exploratory spatial data analysis (ESDA) of road traffic crashes at different severity levels in West Virginia (WV). Although ESDA can support transportation safety decision-making by helping planners understand and summarize crash data, it is underutilized in practice. This paper describes the application of five representative easy-to-use method to identify crash patterns and high crash-risk counties in WV. Analysis of crash data from 2010 to 2015 indicated that traffic crashes in WV were not spatially correlated. However, crash severities were found to be positively correlated.
Rdc Data Alternatives: Conducting Research During Covid-19, Kristi Thompson, Elizabeth Hill
Rdc Data Alternatives: Conducting Research During Covid-19, Kristi Thompson, Elizabeth Hill
Western Libraries Presentations
Recent physical distancing protocols pertaining to the COVID-19 Pandemic have meant that RDC researchers need to find alternatives ways of carrying out their research. The Real Time Remote Access (RTRA) program offers one alternative way to access confidential Statistics Canada data. Other options include using the Statistics Canada public use files and analyzing data from other sources.
The presenters, data librarians from Western Libraries will discuss the differences between the data that can be accessed through the RTRA the RDC. RTRA data is a very useful option for some types of questions but also has some important limitations. We will …
Context Aware Data Generation Through Domain Specific Language, Caleb Druckemiller
Context Aware Data Generation Through Domain Specific Language, Caleb Druckemiller
Other Student Works
No abstract provided.
Boom Or Bust: Examining The Relationship Between High School Recruiting Rankings And The Nfl Draft, Nicholas E. Tice
Boom Or Bust: Examining The Relationship Between High School Recruiting Rankings And The Nfl Draft, Nicholas E. Tice
Senior Theses
The goal of this thesis is to model the probability of a high school football player’s chance of being drafted based on information taken from their recruiting profile. The response variable is binary and defined as drafted (1) or undrafted (0). The independent variables were collected by scraping data from the recruiting websites including height, weight, position, hometown, recruiting grade and other socioeconomic factors based on the player’s high school. 247Sports and ESPN were the two recruiting services used and compared in this study. Because of the binary nature of the dependent variable, logistic regression and decision trees were chosen …
Marine Carbonyl Sulfide (Ocs) And Carbon Disulfide (Cs2): A Compilation Of Measurements In Seawater And The Marine Boundary Layer, Sinikka T. Lennartz, Christa A. Marandino, Marc Von Hobe, Meinrat O. Andreae, Kazushi Aranami, Elliot Atlas, Max Berkelhammer, Heinz Bingemer, Dennis Booge, Gregory A. Cutter, Pau Cortes, Stefanie Kremser, Cliff S. Law, Andrew Marriner, Rafel Simó, Birgit Quack, Günther Uher, Huixiang Xie, Xiaobin Xu
Marine Carbonyl Sulfide (Ocs) And Carbon Disulfide (Cs2): A Compilation Of Measurements In Seawater And The Marine Boundary Layer, Sinikka T. Lennartz, Christa A. Marandino, Marc Von Hobe, Meinrat O. Andreae, Kazushi Aranami, Elliot Atlas, Max Berkelhammer, Heinz Bingemer, Dennis Booge, Gregory A. Cutter, Pau Cortes, Stefanie Kremser, Cliff S. Law, Andrew Marriner, Rafel Simó, Birgit Quack, Günther Uher, Huixiang Xie, Xiaobin Xu
OES Faculty Publications
Carbonyl sulfide (OCS) and carbon disulfide (CS2) are volatile sulfur gases that are naturally formed in seawater and exchanged with the atmosphere. OCS is the most abundant sulfur gas in the atmosphere, and CS2 is its most important precursor. They have attracted increased interest due to their direct (OCS) or indirect (CS2 via oxidation to OCS) contribution to the stratospheric sulfate aerosol layer. Furthermore, OCS serves as a proxy to constrain terrestrial CO2uptake by vegetation. Oceanic emissions of both gases contribute a major part to their atmospheric concentration. Here we present a database of …
Art, Artfulness, Or Artifice?: A Review Of The Art Of Statistics: How To Learn From Data, By David Spiegelhalter, Jason Makansi
Art, Artfulness, Or Artifice?: A Review Of The Art Of Statistics: How To Learn From Data, By David Spiegelhalter, Jason Makansi
Numeracy
David Spiegelhalter. 2019. The Art of Statistics: How to Learn From Data. (London: The Penguin Group). 444 pp. ISBN 978-1541618510
The author successfully eases the reader away from the rigor of statistical methods and calculations and into the realm of statistical thinking. Despite an engaging style and attention-grabbing examples, the reader of The Art of Statistics will need more than a casual grounding in statistics to get what Spiegelhalter, I believe, intends from his book. It should be viewed as a companion to a more rigorous textbook on statistical methods but not necessarily a book that makes statistics any …
Equinox Ten Year Trend Analysis: Housing, Michelle Jones, Christopher Holguin
Equinox Ten Year Trend Analysis: Housing, Michelle Jones, Christopher Holguin
San Diego Regional Quality of Life Dashboard
This report was prepared for The Nonprofit Institute at the University of San Diego by the Center for Sustainable Energy. This is a ten year trend analysis (2010-2020) on housing in San Diego County.
Complex Systems Analysis In Selected Domains: Animal Biosecurity & Genetic Expression, Luke Trinity
Complex Systems Analysis In Selected Domains: Animal Biosecurity & Genetic Expression, Luke Trinity
Graduate College Dissertations and Theses
I first broadly define the study of complex systems, identifying language to describe and characterize mechanisms of such systems which is applicable across disciplines. An overview of methods is provided, including the description of a software development methodology which defines how a combination of computer science, statistics, and mathematics are applied to specified domains. This work describes strategies to facilitate timely completion of robust and adaptable projects which vary in complexity and scope. A biosecurity informatics pipeline is outlined, which is an abstraction useful in organizing the analysis of biological data from cells. This is followed by specific applications of …
Data Rescue & Curation Best Practices Guide, Ocul Data Community (Odc) Data Rescue Group
Data Rescue & Curation Best Practices Guide, Ocul Data Community (Odc) Data Rescue Group
Western Libraries Publications
he aim of the Data Rescue & Curation Best Practices Guide is to provide an accessible and hands-on approach to handling data rescue and digital curation of at-risk data for use in secondary research. We provide a set of examples and workflows for addressing common challenges with social science survey data that can be applied to other social and behavioural research data. The goal of this guide and set of workflows presented is to improve librarians’ and data curators’ skills in providing access to high-quality, well-documented, and reusable research data. The aspects of data curation that are addressed throughout this …
2020 Wachapreague Station Tide Prediction Calendars, Virginia Institute Of Marine Science
2020 Wachapreague Station Tide Prediction Calendars, Virginia Institute Of Marine Science
Miscellaneous
No abstract provided.
2020 Gloucester Point Station Tide Prediction Calendars, Virginia Institute Of Marine Science
2020 Gloucester Point Station Tide Prediction Calendars, Virginia Institute Of Marine Science
Miscellaneous
No abstract provided.
2020 Hampton Roads Station Tide Prediction Calendars, Virginia Institute Of Marine Science
2020 Hampton Roads Station Tide Prediction Calendars, Virginia Institute Of Marine Science
Miscellaneous
No abstract provided.
2020 Chesapeake Bay Bridge Tunnel Station Tide Prediction Calendars, Virginia Institute Of Marine Science
2020 Chesapeake Bay Bridge Tunnel Station Tide Prediction Calendars, Virginia Institute Of Marine Science
Miscellaneous
No abstract provided.
Data Governance And The Emerging University, Michael J. Madison
Data Governance And The Emerging University, Michael J. Madison
Book Chapters
Knowledge and information governance questions are tractable primarily in institutional terms, rather than in terms of abstractions such as knowledge itself or individual or social interests. This chapter offers the modern research university as an example. Practices of data-intensive research by university-based researchers, sometimes reduced to the popular phrase “Big Data,” pose governance challenges for the university. The chapter situates those challenges in the traditional understanding of the university as an institution for understanding forms and flows of knowledge. At a broad level, the chapter argues that the new salience of data exposes emerging shifts in the social, cultural, and …
Playfair's Introduction Of Bar And Pie Charts To Represent Data, Diana White, River Bond, Joshua Eastes, Negar Janani
Playfair's Introduction Of Bar And Pie Charts To Represent Data, Diana White, River Bond, Joshua Eastes, Negar Janani
Statistics and Probability
No abstract provided.
Representing And Interpreting Data From Playfair, Diana White, River Bond, Joshua Eastes, Negar Janani
Representing And Interpreting Data From Playfair, Diana White, River Bond, Joshua Eastes, Negar Janani
Statistics and Probability
No abstract provided.
Towards Agent-Based Traffic Simulation Using Live Data From Sensors For Smart Cities, Johan Barthelemy, Yan Qian, Pascal Perez
Towards Agent-Based Traffic Simulation Using Live Data From Sensors For Smart Cities, Johan Barthelemy, Yan Qian, Pascal Perez
SMART Infrastructure Facility - Papers
The Smart City and Internet-of-Things revolutions enable the collection of various types of data in real-time through sensors. This data can be used to improve the decision tools and simulations used by city planners. This paper presents a new framework for real-time traffic simulation integrating an agent-based methodology with live CCTV and other sensor data while respecting the privacy regulations. The framework simulates traffic flows of pedestrians, vehicles and bicycles and their interactions. The approach has been applied in Liverpool (NSW, Australia) showing promising preliminary results and can easily ingest additional sensor data, e.g. air quality.
A Machine Learning Approach To The Perception Of Phrase Boundaries In Music, Evan Matthew Petratos
A Machine Learning Approach To The Perception Of Phrase Boundaries In Music, Evan Matthew Petratos
Senior Projects Fall 2020
Segmentation is a well-studied area of research for speech, but the segmentation of music has typically been treated as a separate domain, even though the same acoustic cues that constitute information in speech (e.g., intensity, timbre, and rhythm) are present in music. This study aims to sew the gap in research of speech and music segmentation. Musicians can discern where musical phrases are segmented. In this study, these boundaries are predicted using an algorithmic, machine learning approach to audio processing of acoustic features. The acoustic features of musical sounds have localized patterns within sections of the music that create aurally …