Statistical modelling and sports business analytics / edited by Vanessa Ratten and Ted Hayduk.

Other author Ratten, Vanessa editor.
Other author Hayduk, Ted, editor.
Format Electronic
PublicationAbingdon, Oxon ; New York, NY : Routledge, 2020.
Copyright Date©2020
Description1 online resource (xii, 175 pages) : illustrations.
Supplemental ContentEbook Central
Subjects

SeriesRoutledge frontiers of business management
Routledge frontiers of business management. ^A1338252
Contents Statistical modelling and sport business analytics / Vanessa Ratten and Petrus Usmanij -- On the use of quantitative data in the sport context / Ted Hayduk -- Big data and business intelligence in sport / Vanessa Ratten and Geoff Dickson -- Social media marketing and network analysis in sport / Vanessa Ratten and Ashleigh Thompson -- Sport companies using analytics and statistics / Esha Thukral and Vanessa Ratten -- Relationship between support for sports policy and political ideology in the host community's perception of the impacts of a major sporting event / David Parra-Camacho, Maria Gonzalez-Serrano, Mario Alguacil-Jimenez, Romulo Gonzalez-Garcia and Ferran Calabuig Moreno -- What is a sports club in the 21stcentury? : social enterprise and social entrepreneurship / Juan Nunez-Pomar, Paloma Escamilla-Fajardo and Ana Gomez-Tafalla -- Identification of weight control behaviors in members of Polish amateur sports clubs for gender and sexual minorities / Adrian Lubowiecki-Vikuk and Grzegorz Godlewski -- The effects of Turkish Football Federation's penalties upon the sportive success of Super League teams : ordered logit regression analysis / Levent Gorun, Oguz Kara, Mensur Pehlivan and Kadir Tiryaki -- Corporate social responsibility in the field of sports marketing : a study applied to SC Braga / Ines da Silva Pereira and Bruno Sousa -- Deal's completed? : an exploratory case study about the role of players' agents in the football industry / Luisa Carvalho, Manual Gerlof, Niklas Werthmann and Joao Soromenho -- The experience, perception and meanings attributed to Latin dances : a business analytics approach / Elvan Deniz Yumuk, Pınar Guzel and Kadir Yildiz -- Statistical analysis of outdoor adventure facilitation efficacy in Kenya / Rotich Jonathan Kimtai, Nkatha Muthomi, David Muigai -- The future of sport data analytics / Ted Hayduk.
Abstract "This book introduces predictive analytics in sports and discusses the relationship between analytics and algorithms and statistics. It defines sports data to be used and explains why the unique nature of sports would make analytics useful. The book also explains why the proper use of predictive analytics includes knowing what they are incapable of doing and as well as the role of predictive analytics in the bigger picture of sports entrepreneurship, innovation and technology. The book looks at the mathematical foundations that enhance technical knowledge of predictive models, and illustrates through practical, insightful cases that will help to empower readers to build and deploy their own analytic methodologies. This book targets readers who already have working knowledge of location, dispersion, and distribution statistics, bivariate relationships (scatter plots and correlation coefficients), and statistical significance testing and is a reliable, well-rounded reference for furthering their knowledge of predictive analytics in sports"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Biographical noteVanessa Ratten is Associate Professor at La Trobe University, Melbourne, Australia. Ted Hayduk is Assistant Professor at New York University, USA.
Source of descriptionDescription based on online resource; title from digital title page (viewed on May 28, 2020).
Issued in other formPrint version: Statistical modelling and sport business analytics Abingdon, Oxon ; New York, NY : Routledge, 2020. 9780367426927
Genre/formElectronic books.
LCCN 2020004818
ISBN9780367854454 electronic book
ISBN0367854457 electronic book
ISBN9781000072136 (electronic bk. : Mobipocket)
ISBN1000072134 (electronic bk. : Mobipocket)
ISBN9781000072112 (electronic bk. : PDF)
ISBN1000072118 (electronic bk. : PDF)
ISBN9781000072150 (electronic bk. : EPUB)
ISBN1000072150 (electronic bk. : EPUB)
ISBNhardcover
Stock number9780367854454 Taylor & Francis

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