Url
	https://wou.omeka.net/s/pure-insights/item/108
Title
	Predicting the Cy Young Award Winner
Creator
	Stephen Ockerman
	Matthew Nabity
Subject
	Applied Mathematics
	Numerical Analysis and Computation
	linear programming
	mathematical model
	sabermetrics
Date
	5/28/2014
Type
	Text
Identifier
	pure/vol3/iss1/9
Language
	eng
Rights
	Western Oregon University Library has determined, as of 06/01/2023, this item is in copyright, which is held by the author. Users may use the item in accordance with copyright limitations and exceptions, including fair use. For other uses, please ask permission from the author.
	http://rightsstatements.org/vocab/InC/1.0/
Alternative Title
	Predicting the Cy Young Award Winner
Abstract
	Here we examine the application of a decision model to predicting the winner of the Cy Young Award. We investigate a current model cast as a linear programming problem and explore its ability to correctly predict award winners for recent seasons of professional baseball. We suggest the addition of another baseball statistic which leads to a new model. We explore the success of both models with numerical experiments and discuss the results.
Volume
	3
Supported by
	Matthew Nabity
Note
	Matthew Nabity

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