東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

A Game Theoretical Approach to Optim...

Melville, William.

Linked to FindBook

Google Book

Amazon

博客來

A Game Theoretical Approach to Optimal Pitch Sequencing.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Game Theoretical Approach to Optimal Pitch Sequencing./
Author:	Melville, William.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	32 p.
Notes:	Source: Masters Abstracts International, Volume: 85-03.
Contained By:	Masters Abstracts International85-03.
Subject:	Probability. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30558060
ISBN:	9798380262378

A Game Theoretical Approach to Optimal Pitch Sequencing.
Melville, William.

A Game Theoretical Approach to Optimal Pitch Sequencing. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 32 p.

Source: Masters Abstracts International, Volume: 85-03.

Thesis (M.Sc.)--Brigham Young University, 2023.

This item must not be sold to any third party vendors.

This paper presents a game theoretical solution to the difficult challenge of optimal pitch sequencing. We model the batter/pitcher matchup as a zero-sum game and determine the equilibrium strategy for both the pitcher and batter. We conclude that the Stackelberg equilibrium and our newly defined decision point equilibrium serve as effective pitch sequencing strategies.

ISBN: 9798380262378Subjects--Topical Terms:

518898
Probability.

A Game Theoretical Approach to Optimal Pitch Sequencing.
LDR:01491nmm a2200337 4500 001 2398060
005 20240711092055.5
006 m o d
007 cr#unu||||||||
008 251215s2023 ||||||||||||||||| ||eng d
020 $a 9798380262378
035 $a (MiAaPQ)AAI30558060
035 $a (MiAaPQ)BrighamYoung10919
035 $a AAI30558060
040 $a MiAaPQ $c MiAaPQ
100 1 $a Melville, William. $3 3767967
245 1 2 $a A Game Theoretical Approach to Optimal Pitch Sequencing.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 32 p.
500 $a Source: Masters Abstracts International, Volume: 85-03.
500 $a Advisor: Baxter, Larry L.;Lewis, Randy S.;Wheeler, Dean R.;Memmott, Matthew J.;Kress, Joel D.;Grimsman, David.
502 $a Thesis (M.Sc.)--Brigham Young University, 2023.
506 $a This item must not be sold to any third party vendors.
520 $a This paper presents a game theoretical solution to the difficult challenge of optimal pitch sequencing. We model the batter/pitcher matchup as a zero-sum game and determine the equilibrium strategy for both the pitcher and batter. We conclude that the Stackelberg equilibrium and our newly defined decision point equilibrium serve as effective pitch sequencing strategies.
590 $a School code: 0022.
650 4 $a Probability. $3 518898
650 4 $a Neural networks. $3 677449
650 4 $a Professional baseball. $3 3563169
650 4 $a Sports management. $3 3423935
690 $a 0800
690 $a 0430
710 2 $a Brigham Young University. $3 1017451
773 0 $t Masters Abstracts International $g 85-03.
790 $a 0022
791 $a M.Sc.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30558060