Relevant bibliographies by topics / Baseball - Statistics

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  1. Dissertations / Theses

Academic literature on the topic 'Baseball - Statistics'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 January 2023

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Dissertations / Theses on the topic "Baseball - Statistics"

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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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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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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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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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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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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