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Titlebook: Frontiers in Major League Baseball; Nonparametric Analys John Ruggiero Book 20111st edition Springer Science+Business Media, LLC 2011 Baseb

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書(shū)目名稱(chēng)Frontiers in Major League Baseball
副標(biāo)題Nonparametric Analys
編輯John Ruggiero
視頻videohttp://file.papertrans.cn/350/349185/349185.mp4
概述Addresses current issues in baseball including steroid use and labor market outcomes.Provides a thorough theoretical treatment of data envelopment analysis with a specific application to Major League
叢書(shū)名稱(chēng)Sports Economics, Management and Policy
圖書(shū)封面Titlebook: Frontiers in Major League Baseball; Nonparametric Analys John Ruggiero Book 20111st edition Springer Science+Business Media, LLC 2011 Baseb
描述This book focuses on the application of Data Envelopment Analysis (DEA) to Major League Baseball (MLB).DEA is a nonparametric linear programming model that is used across academic disciplines. In sports economics, authors have applied the technique primarily to assess team and/or managerial efficiency. The basis for performance analysis is economic production theory, where it is assumed that baseball can be viewed as a production process whereby inputs (player quality measures) are transformed into outputs (wins, attendance).The primary advantage that DEA has over more traditional regression based approaches is the ability to handle multiple inputs and multiple outputs.Further, the approach is nonparametric and hence, does not require a priori specification of the production function.The book develops the theory of DEA in the context of a production environment.A focal point is the assessment of technical and cost efficiency of MLB teams.It is shown that previous frontier applications that measure efficiency provide biased results given that the outcome of a game is zero-sum.If a team loses a game due to inefficiency, another team wins a lost game.A corrected frontier is presented
出版日期Book 20111st edition
關(guān)鍵詞Baseball; DEA; Performance Analysis; Player Rankings; Production Economics; Sports Labor Market
版次1
doihttps://doi.org/10.1007/978-1-4419-0831-5
isbn_softcover978-1-4614-2734-6
isbn_ebook978-1-4419-0831-5Series ISSN 2191-298X Series E-ISSN 2191-2998
issn_series 2191-298X
copyrightSpringer Science+Business Media, LLC 2011
The information of publication is updating

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