Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Keyword
-
- "hot hand" (1)
- Additive processes (1)
- Association (1)
- Basketball (1)
- Bayes' rule (1)
-
- Bayesian hierarchical model (1)
- Bayesian linear regression (1)
- Combinatorics Education (1)
- Counting (1)
- Exploratory analysis (1)
- Exponential (1)
- Feller evolution systems (1)
- Feller processes (1)
- Finite Mathematics (1)
- Levy processes (1)
- Momentum (1)
- Orthant dependence (1)
- Poisson (1)
- Probability (1)
- Slumps (1)
- Streaks (1)
- Time between scoring events (1)
- Undergraduate Mathematics Education (1)
Articles 1 - 4 of 4
Full-Text Articles in Probability
Statistical Analysis Of Momentum In Basketball, Mackenzi Stump
Statistical Analysis Of Momentum In Basketball, Mackenzi Stump
Honors Projects
The “hot hand” in sports has been debated for as long as sports have been around. The debate involves whether streaks and slumps in sports are true phenomena or just simply perceptions in the mind of the human viewer. This statistical analysis of momentum in basketball analyzes the distribution of time between scoring events for the BGSU Women’s Basketball team from 2011-2017. We discuss how the distribution of time between scoring events changes with normal game factors such as location of the game, game outcome, and several other factors. If scoring events during a game were always randomly distributed, or …
Making Models With Bayes, Pilar Olid
Making Models With Bayes, Pilar Olid
Electronic Theses, Projects, and Dissertations
Bayesian statistics is an important approach to modern statistical analyses. It allows us to use our prior knowledge of the unknown parameters to construct a model for our data set. The foundation of Bayesian analysis is Bayes' Rule, which in its proportional form indicates that the posterior is proportional to the prior times the likelihood. We will demonstrate how we can apply Bayesian statistical techniques to fit a linear regression model and a hierarchical linear regression model to a data set. We will show how to apply different distributions to Bayesian analyses and how the use of a prior affects …
Dependence Structures In Lévy-Type Markov Processes, Eddie Brendan Tu
Dependence Structures In Lévy-Type Markov Processes, Eddie Brendan Tu
Doctoral Dissertations
In this dissertation, we examine the positive and negative dependence of infinitely divisible distributions and Lévy-type Markov processes. Examples of infinitely divisible distributions include Poissonian distributions like compound Poisson and α-stable distributions. Examples of Lévy-type Markov processes include Lévy processes and Feller processes, which include a class of jump-diffusions, certain stochastic differential equations with Lévy noise, and subordinated Markov processes. Other examples of Lévy-type Markov processes are time-inhomogeneous Feller evolution systems (FES), which include additive processes. We will provide a tour of various forms of positive dependence, which include association, positive supermodular association (PSA), positive supermodular dependence (PSD), and positive …
Influences Of Probability Instruction On Undergraduates' Understanding Of Counting Processes, Kayla Blyman
Influences Of Probability Instruction On Undergraduates' Understanding Of Counting Processes, Kayla Blyman
Theses and Dissertations--Education Sciences
Historically, students in an introductory finite mathematics course at a major university in the mid-south have struggled the most with the counting and probability unit, leading instructors to question if there was a better way to help students master the material. The purpose of this study was to begin to understand connections that undergraduate finite mathematics students are making between counting and probability. By examining student performance in counting and probability, this study provides insights that inform future instruction in courses that include counting and probability. Consequently, this study lays the groundwork for future inquiries in the field of undergraduate …