Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 74 for “"NBA"”.
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NBA Sleep Tracking Data Imputation
… for nights of missing sleep wearable data from NBA Academy athletes. Sparsity in sleep tracking data arises as a result of behavioral non-compliance or device malfunction, hindering the NBA Academy's ability to provide actionable insights that improve player sleep, a crucial component for player …
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A shirking model of NBA players.
As guaranteed National Basketball Association (NBA) contract salary amounts continuously increase there is a strong possibility of shirking due to difficulty in modeling contracts based upon future performance. Based on a 5-year panel of 121 NBA players this paper uses two stage least squares …
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Predicting NBA games with matrix factorization
… thesis, I present the methods I use to predict NBA games using matrix factorization. Matrix factorization is popular through the Netflix recommendation problem, but in general, one can apply it to data that are best modeled as the result of pairwise interaction. My thesis contains three parts. …
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TRANSFORMING THE IMAGE OF BLACK MASCULINITY IN THE NBA: A RHETORICAL ANALYSIS OF THE NBA CARES PROGRAM
This thesis examines the NBA Cares Week 2013 video as a rhetorical artifact that represents the transformation of the narrative of black masculinity in the NBA. I argue that the images in the NBA Cares Week 2013 video supplant the probability and fidelity of the narrative of black masculinity as …
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NBA Machine Learning for Game Outcome Prediction
… of predicting National Basketball Association (NBA) gameoutcomes using only information available prior to tip-off. While team-level rating systems such as Elo provide a strong baseline for game prediction, they do not fully account for game-to-game variation in roster composition, player …
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Player motion analysis : automatically classifying NBA plays
… to help automatically classify a set of NBA plays using data from the SportVU optical tracking system, which tracks the position of each player and the ball 25 times per second. The problem is made challenging by the variations in how a play is run, the high proportion of possessions …
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Modelling the NBA to make better predictions
… In my thesis, I present work that models the NBA. My goal was to build a model of the NBA Machine Learning and other statistical tools in order to better make predictions and quantify unexpected events. In my thesis, I first review other quantitative models of the NBA. Second, I present novel …
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Evaluating Combinations of Play Styles in the NBA
… play styles on offensive performance in the NBA. It offers valuable insight to coaches and managers who seek to understand the significance of play styles and identify the optimal combinations. Through classifying player play styles and analyzing their relationships with team performance, …
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Evaluating Lineups and Complementary Play Styles in the NBA
NBA coaches and general managers are tasked with building lineups and rosters that maximize their chances of winning. Further, basketball is a team sport where interactions between the players in a lineup can be integral to the success or failure of that lineup; managing a team is not as simple as …
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The Effect of NBA Free Agency on Player Utility
<p>Observably, free agents in the National Basketball Association often make misguided decisions during the free agency period. These decisions may have a direct effect on a player’s performance and salary, affecting their overall utility. Research exists confirming that moving through free agency …
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Classifying teams in the NBA with player behavioral data
… play-by-play data from the 2016-2017 NBA season to assemble behavioral event data for each player. Behavioral data includes propensity to dribble/pass/shoot, and also the resulting quality of shot when players decide to shoot or make another pass. I apply a k-means clustering algorithm …
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Drafting errors and decision making theory in the NBA draft
… data with regards to draft-eligible players and NBA teams investing more resources into scouting than ever before, NBA decision makers still struggle to consistently evaluate talent and select productive players (Berri et al., 2010) in the draft. In this paper, I examine the NCAA statistics and …
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Drafting Errors and Decision Making Theory in the NBA Draft
… data with regards to draft-eligible players and NBA teams investing more resources into scouting than ever before, NBA decision makers still struggle to consistently evaluate talent and select productive players (Berri et al., 2010) in the draft. In this paper, I examine the NCAA statistics and …
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Analysis of publicly available data to explore the role of assist in the NBA
… decisions about their passing. Specifically, the NBA has collected a wealth of data over the past few decades, and teams are trying to transform this data into valuable insights that can help them edge their competition. Using publicly available data, I explored how the passing dynamics of teams …
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Shut Up and Dribble? Exploring the Real Estate Strategies and Trends of NBA Teams
NBA teams have always had to think about real estate through one certain lenses: the arena they play their 41 home games in (plus any subsequent playoff games). But now, NBA teams have evolved past only just thinking about the arena. Teams have increasingly gotten involved in real estate …
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Biomechanical Validation of Skeletal Tracking Data and Developing Action Recognition Models for Basketball: A Baseline for NBA Officiating Tools
… a new skeletal tracking dataset collected from NBA basketball games. The methodology includes biomechanical joint validation, anomaly detection, and region-based consistency analysis to assess the integrity of player motion data. Joint movement anomalies are used to detect tracking errors, while …
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