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Full-Text Articles in Physical Sciences and Mathematics
Time Series Analysis Of Major League Baseball Organizations’ Fan Attendance, Joseph Molis
Time Series Analysis Of Major League Baseball Organizations’ Fan Attendance, Joseph Molis
Honors Program Theses and Projects
Throughout baseball’s rich and long history, fans have been one of the most integral parts of the game. However, in recent years, baseball has seen a decrease in fans, allegedly due to the pace of play, or the length of games. Baseball games can take up to four hours to complete, and in today’s fast-moving society where all information is at one’s fingertips, it is believed that baseball’s slower pace turns people away from the game. However, how true is that? The primary goal of this project is to build models to accurately forecast fan attendance for every Major League …
We’Re Here To Get You There: A Statistical Analysis Of Bridgewater State University’S Transit System, Abigail Adams
We’Re Here To Get You There: A Statistical Analysis Of Bridgewater State University’S Transit System, Abigail Adams
Honors Program Theses and Projects
Bridgewater State University first established its on-campus transportation service in January of 1984. While it began only running as an on-campus service for students throughout the day, the service grew to expand by offering an off-campus connection to the neighboring city of Brockton and absorbed the night service system from the campus safety team. As BSU Transit continues to grow, the organization is seeking ways to improve their overall service and better prepare their fleet and driver pool to accommodate this growth. The purpose of this research is to analyze trends among the data collected by BSU Transit and assist …
Time Series Forecasting Of Covid-19 Deaths In Massachusetts, Andrew Disher
Time Series Forecasting Of Covid-19 Deaths In Massachusetts, Andrew Disher
Honors Program Theses and Projects
The aim of this study was to use data provided by the Department of Public Health in the state of Massachusetts on its online dashboard to produce a time series model to accurately forecast the number of new confirmed deaths that have resulted from the spread of CoViD-19. Multiple different time series models were created, which can be classified as either an Auto-Regressive Integrated Moving Average (ARIMA) model or a Regression Model with ARIMA Errors. Two ARIMA models were created to provide a baseline forecasting performance for comparison with the Regression Model with ARIMA Errors, which used the number of …