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Springer Frontiers in MLB: Data Envelopment Analysis - Sports Economics

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Description

This comprehensive volume from Springer examines the application of Data Envelopment Analysis (DEA) to Major League Baseball performance evaluation. DEA is a nonparametric linear programming model that assesses team and managerial efficiency by treating baseball as an economic production process. The methodology transforms player quality measures (inputs) into measurable outcomes such as wins and attendance (outputs). Unlike traditional regression approaches, DEA offers distinct analytical advantages for sports economics researchers and professionals seeking to understand performance dynamics in professional baseball. This first volume in the Sports Economics, Management and Policy series provides rigorous, data-driven insights into how DEA can be applied across academic disciplines to evaluate competitive efficiency and strategic decision-making in Major League Baseball.

Key Features

Explores nonparametric Data Envelopment Analysis methodology applied specifically to Major League Baseball performance measurement and evaluation.

Treats baseball as an economic production process, converting player quality inputs into quantifiable outputs including wins and attendance figures.

Part of the Springer Sports Economics, Management and Policy series, offering academic-level analysis for researchers and practitioners.

Provides comparative advantages over traditional regression models for assessing team and managerial efficiency in professional sports contexts.

Combines economic production theory with sports analytics to deliver comprehensive performance evaluation frameworks for MLB stakeholders.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
11 November 2010
Listed Since
30 April 2009

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