Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Statistical Models (3)
- Applied Statistics (2)
- Probability (2)
- Behavior and Behavior Mechanisms (1)
- Biostatistics (1)
-
- Computer Sciences (1)
- Data Science (1)
- Design of Experiments and Sample Surveys (1)
- Discrete Mathematics and Combinatorics (1)
- Geography (1)
- Human Geography (1)
- Mathematics (1)
- Medicine and Health Sciences (1)
- Other Statistics and Probability (1)
- Personality and Social Contexts (1)
- Programming Languages and Compilers (1)
- Psychiatry and Psychology (1)
- Psychological Phenomena and Processes (1)
- Psychology (1)
- Social Psychology (1)
- Social and Behavioral Sciences (1)
- Spatial Science (1)
- Statistical Methodology (1)
- Keyword
-
- Baseball (2)
- Optimization (2)
- Batting Order (1)
- Bill James (1)
- Expected value (1)
-
- Geotemporal models (1)
- Goodness of fit (1)
- Kolmogorov (1)
- Ks test (1)
- Lane (1)
- Leverage (1)
- Meta-analysis (1)
- Meta-regression (1)
- Monte Carlo Simulation (1)
- Moving constant technique (1)
- Probability (1)
- Qualitative methods (1)
- Quantitative methods (1)
- R (1)
- Reliever (1)
- Research synthesis (1)
- Scientific reviews (1)
- Simulation (1)
- Smirnov (1)
- Social-personality psychology (1)
- Statistics (1)
- Publication
Articles 1 - 4 of 4
Full-Text Articles in Statistical Theory
Uconn Baseball Reliever Lane Optimization Tool, Jason Bartholomew
Uconn Baseball Reliever Lane Optimization Tool, Jason Bartholomew
Honors Scholar Theses
The building of a tool to be utilized by UConn’s Division I baseball team that will generate a game plan for when different relievers should be used against different parts of the opponent’s lineup to achieve the lowest total expected value of runs allowed for the remainder of the game based on game situations and matchup probabilities. The tool will also examine and determine situations that may be vital enough to the outcome of the game to bring in a better reliever normally saved for later in the game.
Uconn Baseball Batting Order Optimization, Gavin Rublewski, Gavin Rublewski
Uconn Baseball Batting Order Optimization, Gavin Rublewski, Gavin Rublewski
Honors Scholar Theses
Challenging conventional wisdom is at the very core of baseball analytics. Using data and statistical analysis, the sets of rules by which coaches make decisions can be justified, or possibly refuted. One of those sets of rules relates to the construction of a batting order. Through data collection, data adjustment, the construction of a baseball simulator, and the use of a Monte Carlo Simulation, I have assessed thousands of possible batting orders to determine the roster-specific strategies that lead to optimal run production for the 2023 UConn baseball team. This paper details a repeatable process in which basic player statistics …
On Misuses Of The Kolmogorov–Smirnov Test For One-Sample Goodness-Of-Fit, Anthony Zeimbekakis
On Misuses Of The Kolmogorov–Smirnov Test For One-Sample Goodness-Of-Fit, Anthony Zeimbekakis
Honors Scholar Theses
The Kolmogorov–Smirnov (KS) test is one of the most popular goodness-of-fit tests for comparing a sample with a hypothesized parametric distribution. Nevertheless, it has often been misused. The standard one-sample KS test applies to independent, continuous data with a hypothesized distribution that is completely specified. It is not uncommon, however, to see in the literature that it was applied to dependent, discrete, or rounded data, with hypothesized distributions containing estimated parameters. For example, it has been "discovered" multiple times that the test is too conservative when the parameters are estimated. We demonstrate misuses of the one-sample KS test in three …
Meta-Analysis Of Social-Personality Psychological Research, Blair T. Johnson, Alice H. Eagly
Meta-Analysis Of Social-Personality Psychological Research, Blair T. Johnson, Alice H. Eagly
CHIP Documents
This publication provides a contemporary treatment of the subject of meta-analysis in relation to social-personality psychology. Meta-analysis literally refers to the statistical pooling of the results of independent studies on a given subject, although in practice it refers as well to other steps of research synthesis, including defining the question under investigation, gathering all available research reports, coding of information about the studies and their effects, and interpretation/dissemination of results. Discussed as well are the hallmarks of high-quality meta-analyses.