Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Entire DC Network
A Statistical Analysis Of Defined Benefit, Defined Contribution, And Hybrid Plans, Katie Heeder
A Statistical Analysis Of Defined Benefit, Defined Contribution, And Hybrid Plans, Katie Heeder
Honors Projects in Mathematics
The purpose of this study is to compare three major types of employer sponsored retirement plans, Defined Benefit (DB), Defined Contribution (DC), and hybrid, and their impact on the employee. Employee careers are simulated to understand the employee’s advantages and disadvantages of each type of plan, especially in the state of an economic depression. The study uses actuarial assumptions and the simulation varies a number of quantities to better understand the impact of employee savings. The variables which are simulated at different levels are: service start age, retirement age, current compensation, salary increase rate, rate of return on market investments, …
Determining The Success Of Ncaa Basketball Teams Through Team Characteristics, Raymond Witkos
Determining The Success Of Ncaa Basketball Teams Through Team Characteristics, Raymond Witkos
Honors Projects in Mathematics
Every year much of the nation becomes engulfed in the NCAA basketball postseason tournament more affectionately known as “March Madness.” The tournament has received the name because of the ability for any team to win a single game and advance to the next round. The purpose of this study is to determine whether concrete statistical measures can be used to predict the final outcome of the tournament. The data collected in the study include 13 independent variables ranging from the 2003-2004 season up until the current 2009-2010 season. Different tests were run in an attempt to achieve the most accurate …
Predictive Modeling Of Alumni Donor Behavior, Lauren Prue
Predictive Modeling Of Alumni Donor Behavior, Lauren Prue
Honors Projects in Mathematics
In recent years, college and universities have relied increasingly upon the charitable contributions of its previous graduates; as the costs of tuition rise substantially, development offices are facing the challenge of creating annual fund campaigns that are minimally expensive while providing the maximum potential for return. This study addresses the available constituent database at one University in particular in an effort to identify what criteria are the strongest predictors of donor response at a small, private university located within New England. The analysis utilized predictive modeling and data-mining largely within the software program Rapid Insight to build several models in …