Matching Items (17)
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Description

Created predictive models using R to determine significant variables that help determine whether someone will default on their loans using a data set of almost 900,000 loan applicants.

ContributorsMazza, Rachel Marie (Author) / Schneider, Laurence (Thesis director) / Sha, Xiqing (Committee member) / School of Accountancy (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

Dreadnought is a free-to-play multiplayer flight simulation in which two teams of 8 players each compete against one another to complete an objective. Each player controls a large-scale spaceship, various aspects of which can be customized to improve a player’s performance in a game. One such aspect is Officer Briefings,

Dreadnought is a free-to-play multiplayer flight simulation in which two teams of 8 players each compete against one another to complete an objective. Each player controls a large-scale spaceship, various aspects of which can be customized to improve a player’s performance in a game. One such aspect is Officer Briefings, which are passive abilities that grant ships additional capabilities. Two of these Briefings, known as Retaliator and Get My Good Side, have strong synergy when used together, which has led to the Dreadnought community’s claiming that the Briefings are too powerful and should be rebalanced to be more in line with the power levels of other Briefings. This study collected gameplay data with and without the use of these specific Officer Briefings to determine the precise impact on gameplay. Linear correlation matrices and inference on two means were used to determine performance impact. It was found that, although these Officer Briefings do improve an individual player’s performance in a game, they do not have a consistent impact on the player’s team performance, and that these Officer Briefings are therefore not in need of rebalancing.

ContributorsJacobs, Max I. (Author) / Schneider, Laurence (Thesis director) / Tran, Samantha (Committee member) / Mechanical and Aerospace Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
ContributorsFeher, Patrick (Performer) / Creviston, Hannah (Performer) / Berry, David (Performer) / ASU Library. Music Library (Publisher)
Created2019-04-12
ContributorsStover, Chris (Performer) / Berry, David (Performer) / Healey, Biddy (Performer) / Hedquist, Ben (Performer) / Kelly, Keith (Performer) / McClintock, Matt (Performer) / Neff, Megyn (Performer) / Price, Alex (Performer) / Helical Ensemble (Performer) / ASU Library. Music Library (Publisher)
Created2019-02-04
ContributorsReynoso, Jeremy (Performer) / Berry, David (Performer) / Donahue, Jacob (Performer) / Rowland, Travis (Performer) / ASU Library. Music Library (Publisher)
Created2019-04-13
Description

This project uses SAS (Statistical Analysis Software) to create a regression model that provides a prediction for which NFL playoff team will win the Super Bowl in a given year.

ContributorsOleksyn, Alexander (Author) / Schneider, Laurence (Thesis director) / Hansen, Whitney (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2023-05
Description

My project goes over creating a probability model to accurately predict the probability of a shot in the NHL becoming a goal. It explores different types of models to produce the most accurate model. The study explains which variables contribute most to whether a shot results in a goal or

My project goes over creating a probability model to accurately predict the probability of a shot in the NHL becoming a goal. It explores different types of models to produce the most accurate model. The study explains which variables contribute most to whether a shot results in a goal or not and of those variables how teams can control them to have the most success.

ContributorsLachapelle, William (Author) / McCulloch, Robert (Thesis director) / Schneider, Laurence (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Information Systems (Contributor)
Created2023-05
Description
My project goes over creating a probability model to accurately predict the probability of a shot in the NHL becoming a goal. It explores different types of models to produce the most accurate model. The study explains which variables contribute most to whether a shot results in a goal or

My project goes over creating a probability model to accurately predict the probability of a shot in the NHL becoming a goal. It explores different types of models to produce the most accurate model. The study explains which variables contribute most to whether a shot results in a goal or not and of those variables how teams can control them to have the most success.
ContributorsLachapelle, William (Author) / McCulloch, Robert (Thesis director) / Schneider, Laurence (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Information Systems (Contributor)
Created2023-05
Description
My project goes over creating a probability model to accurately predict the probability of a shot in the NHL becoming a goal. It explores different types of models to produce the most accurate model. The study explains which variables contribute most to whether a shot results in a goal or

My project goes over creating a probability model to accurately predict the probability of a shot in the NHL becoming a goal. It explores different types of models to produce the most accurate model. The study explains which variables contribute most to whether a shot results in a goal or not and of those variables how teams can control them to have the most success.
ContributorsLachapelle, William (Author) / McCulloch, Robert (Thesis director) / Schneider, Laurence (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Information Systems (Contributor)
Created2023-05
ContributorsBuringrud, Deanna (Performer) / Clements, Katrina (Performer) / Bennet, Joshua (Performer) / Rasmussen, Eric (Performer) / Price, Alex (Performer) / Stover, Chris (Performer) / Healey, Biddy (Performer) / Berry, David (Performer) / Hedquist, Ben (Performer) / McClintock, Matt (Performer) / ASU Library. Music Library (Publisher)
Created2018-10-28