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Dissertations / Theses on the topic 'Baseball - Statistics'

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1

Ammons, Mark Joseph. "Comparison of career statistics and season statistics in major league baseball." Click here to access dissertation, 2008. http://www.georgiasouthern.edu/etd/archive/fall2007/mark_j_ammons/Ammons_mark_j_200801_ms.pdf.

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Thesis (M.S.)--Georgia Southern University, 2008.<br>"A dissertation submitted to the Graduate Faculty of Georgia Southern University in partial fulfillment of the requirements for the degree Master of Science." Under the direction of Pat Humphrey. ETD. Electronic version approved: May 2008. Includes bibliographical references (p. 79-80) and appendices.
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2

Smith, Michael Ross. "Modeling the Performance of a Baseball Player's Offensive Production." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1189.pdf.

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3

Chernoff, Parker. "Sabermetrics - Statistical Modeling of Run Creation and Prevention in Baseball." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3663.

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The focus of this thesis was to investigate which baseball metrics are most conducive to run creation and prevention. Stepwise regression and Liu estimation were used to formulate two models for the dependent variables and also used for cross validation. Finally, the predicted values were fed into the Pythagorean Expectation formula to predict a team’s most important goal: winning. Each model fit strongly and collinearity amongst offensive predictors was considered using variance inflation factors. Hits, walks, and home runs allowed, infield putouts, errors, defense-independent earned run aver
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4

Spangler, Ashley. "An Exploration of the First Pitch in Baseball." Bowling Green State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1490300154782369.

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5

Pinheiro, Ryan X. "Efficient Free Agent Spending in Major League Baseball." University of Akron / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=akron1396821766.

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6

Juarez, Christopher. "An investigaton of umpire performance using PITCHf/x data via longitudinal analysis." Kansas State University, 2012. http://hdl.handle.net/2097/14082.

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Master of Science<br>Department of Statistics<br>Abigail Jager<br>Baseball has long provided statisticians a playground for analysis. In this report we discuss the history of Major League Baseball (MLB) umpires, MLB data collection, and the use of technology in sports officiating. We use PITCHf/x data to answer 3 questions. 1) Has the proportion of incorrect calls made by a major league umpire decreased over time? 2) Does the proportion of incorrect calls differ for umpires hired prior to the implementation of technology in evaluating umpire performance from those hired after? 3) Does th
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7

Glasser, Jacob. "Pitch it to Me: The Determinants of a Professional Baseball Pitcher’s Salary." Scholarship @ Claremont, 2017. http://scholarship.claremont.edu/cmc_theses/1658.

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The professional sports industry is one of the most engaging and entertaining markets in the United States. Specifically, Major League Baseball is unique in the sense that it is America’s pastime and oldest American sport. Professional baseball teams are businesses that trade commodities in the form of baseball players. Unlike publicly traded stocks, baseball players are not traded on an exchange. So, what determines the “price” of professional baseball players? More specifically, what determines the price of professional pitchers in the MLB? My study reveals that pitching is an extremely subj
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8

Libsch, Anton I. "Predicting Average Annual Value of Free Agent Contracts in Major League Baseball." Digital WPI, 2018. https://digitalcommons.wpi.edu/etd-theses/1239.

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This project uses multiple linear regression to predict the value of Major League Baseball free agent contracts, inspired by the low volume of published research on this topic. I found one published paper that shared my research goal but its predictive power needed improvement. An in depth comparison of our models is carried out with k-fold cross validation mean square prediction error being used as the main standard. The predictor variables considered in my models were related to performance evaluation and position, and the response variable was inflation-adjusted average annual value of the
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9

Baughman, Sam. "Management in Major League Baseball: How General Managers Succeed and Fail Using Statistics to Build Winning Franchises." Scholarship @ Claremont, 2017. http://scholarship.claremont.edu/cmc_theses/1591.

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Baseball fans discuss and remember the heroics of Major League Baseball players and managers. However, team executives operate away from the crowds, in the front office to draft, trade for, and sign talented players and managers to construct successful teams. The intent of this thesis is to first rank and analyze these general managers and presidents of baseball operations through finance and baseball statistics. Then, I will examine team statistics to determine what statistics correlate to winning. Two of the general managers, Theo Epstein and Dan O’Dowd, will then be examined more thoroughly
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10

Huddleston, Scott D. "Hitters vs. Pitchers: A Comparison of Fantasy Baseball Player Performances Using Hierarchical Bayesian Models." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3173.

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In recent years, fantasy baseball has seen an explosion in popularity. Major League Baseball, with its long, storied history and the enormous quantity of data available, naturally lends itself to the modern-day recreational activity known as fantasy baseball. Fantasy baseball is a game in which participants manage an imaginary roster of real players and compete against one another using those players' real-life statistics to score points. Early forms of fantasy baseball began in the early 1960s, but beginning in the 1990s, the sport was revolutionized due to the advent of powerful computers an
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11

Johnson, Kyle. "Growing Acceptance of Sabermetrics in Newspapers: A Look into How Advanced Statistics Enter the Baseball Parlance." Thesis, The University of Arizona, 2014. http://hdl.handle.net/10150/320188.

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12

Ström, Martin. "What happens in the shadows? : A quantitative analysis on the effect of shadows in baseball." Thesis, Linnéuniversitetet, Institutionen för idrottsvetenskap (ID), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-104253.

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Baseball is one of the most statistically documented sports in the world. Every statistical outcome in baseball starts with the pitcher and the plate appearance. In baseball, it is believed that when shadows are present between the pitcher’s mound and the batter’s box, the pitcher is at an advantage. Therefore, the aim of the study was to identify if there is an advantage for pitchers pitching with shadows separating the pitcher’s mound from the batter’s box. Only games from Major League Baseball in which the shadows were present between the pitcher’s mound and batter’s box were analyzed. Anal
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13

Nehm, Eric. "WHIP, BABIP, and FIP: the role of radio broadcasters in the diffusion of advanced statistics in Major League Baseball broadcasts." Thesis, Kansas State University, 2015. http://hdl.handle.net/2097/20545.

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Master of Science<br>Department of Journalism and Mass Communications<br>Barbara DeSanto<br>The purpose of this study was to take a closer look at the use of advanced statistics in Major League Baseball (MLB) radio broadcasts and the possible effects usage could have on the roles of MLB broadcasters. This study used a theoretical framework supported by role theory and diffusion of innovations theory. The study employed in-depth interviews of eight MLB radio broadcasters to get a better understanding of the broadcasters’ thoughts on the value of advanced statistics, how using advanced statist
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14

Kappy, Andrew. "The Intentional Base-on-ball Phenomenon in Baseball: A Statistical Analysis and Strategic Recommendations." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/775.

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The game of baseball is amenable to a variety of strategies that affect short-term outcomes. This paper employs regression analysis, simulation, and cognitive analysis of mental biases to analyze the strategic scenario known as the "Intentional Base-on-Balls" and proposes a model to explain that strategy and predict its effectiveness. <br /><br /> The results of this study suggest that managers are prone to Type II errors, that is, issuing an Intentional Base-on-Ball in a situation where objective analysis suggests otherwise. Results further suggest that the ratio of Type I errors to T
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Martin, Fredric W. "DISTRIBUTED ARCHITECTURE FOR A GLOBAL TT&C NETWORK." International Foundation for Telemetering, 1994. http://hdl.handle.net/10150/608562.

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International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and Conference Center, San Diego, California<br>Use of top-down design principles and standard interface techniques provides the basis for a global telemetry data collection, analysis, and satellite control network with a high degree of survivability via use of distributed architecture. Use of Commercial Off-The-Shelf (COTS) hardware and software minimizes costs and provides for easy expansion and adaption to new satellite constellations. Adaptive techniques and low cost multiplexers provide f
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16

(7043036), Eric A. Gerber. "A Mixed Effects Multinomial Logistic-Normal Model for Forecasting Baseball Performance." Thesis, 2019.

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<div>Prediction of player performance is a key component in the construction of baseball team rosters. Traditionally, the problem of predicting seasonal plate appearance outcomes has been approached univariately. That is, focusing on each outcome separately rather than jointly modeling the collection of outcomes. More recently, there has been a greater emphasis on joint modeling, thereby accounting for the correlations between outcomes. However, most of these state of the art prediction models are the proprietary property of teams or industrial sports entities and so little is available in ope
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17

Liu, Yi-Han, and 劉薏涵. "Panel Threshold Analysis For Statistical Data On Major League Baseball." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/87493470255086031048.

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碩士<br>國立中興大學<br>應用數學系所<br>101<br>There is no other sport like baseball that statistics plays a more important role. In baseball games, coaches usually arrange not only start pitchers and offensive line-ups relying heavily on statistical data but also relief pitchers and substitute hitters. MLB team managers always try to reinforce their teams by signing appropriate players or even trading players with other teams during a season and off season. Mostly, they will judge the values of such players according to the existing statistical data. In this thesis, a panel threshold analysis proposed
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18

Wang, Yu-Ren, and 王郁仁. "Statistical Analysis for winning prediction with Taiwan Sports Lottery on Major League Baseball." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/n2j3es.

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碩士<br>國立中山大學<br>應用數學系研究所<br>101<br>This work discusses about issues related to predictions of the results to determine win-or-lose on standard baseball season games in Major League Baseball (MLB) according to the information provided by the Taiwan Sports Lottery. Along with growth of the baseball kingdom, more and more detailed data have been collected, it is natural to use these baseball data to make predictions on the baseball game outcomes. The main objective of this study is to predict not only the original win-or-lose game results, but also results after adding the Handicap factor. Althou
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19

Teng, Chih-chung, and 鄧誌忠. "Statistical Understanding of Broadcast Baseball Videos from the Perspective of Semantic Shot Distribution." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/tytb89.

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碩士<br>國立中山大學<br>電機工程學系研究所<br>97<br>Recently, sport video analysis has attracted lots of researcher’s attention because of its entertainment applications and potential commercial benefits. Sport video analysis aims to identify what trigged the excitement of audiences. Previous methods rely mainly on video decomposition using domain specific knowledge. The study and development of suitable and efficient techniques for sport video analysis have been conducted extensively over the last decade. However, several longstanding challenges, such as semantic gap and commercial detection are still waiting
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20

Wang, Yen-Chieh, and 王彥傑. "Prediction of Postseason Appearance in Major League Baseball by Statistical Analysis and Machine Learning." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/75332361762159445648.

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碩士<br>國立臺灣大學<br>電信工程學研究所<br>104<br>Major League Baseball (MLB) gathers the top baseball players around the world. It’s the most popular professional baseball league that its fans are worldwide. Every season, the 30 teams of MLB enhance their power to make them qualify the postseason games in October. Moreover, they all hope to win the World Series Championship. Baseball fans and teams would like to know what attributes makes a team go to the postseason games. In the thesis, we first introduce the baseball statistics and the history of MLB postseason system. We adopt the factor analysis, the d
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21

Ge, Shiue-Wen, and 葛學文. "Statistical Data Mining of Team Performance and Player Ability in Major League Baseball, 2010-2013." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/03778859798406382275.

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碩士<br>東海大學<br>統計學系<br>102<br>The records of hitting, pitching and fielding for Major League Baseball (MLB) in 2010-2013 were used in this research. The purpose of this research is to analyze what is the most important factor affecting the team performance---advance to postseason by the technique of data mining. Another purpose in this research is to use the records of player evaluate the ability of players. In the part of team performance, through the decision tree classification, we got the pivotal factors which were Earned Run Average (ERA) and On-base percentage Plus Slugging Percentage (OP
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