Statistical modelling and sports business analytics
著者
書誌事項
Statistical modelling and sports business analytics
（Routledge frontiers of business management）
Routledge, 2020
- : hbk
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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 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.
目次
1. Statistical Modelling and Sport Business Analytics 2. On the Use of Quantitative Data in the Sport Context 3. Big Data and Business Intelligence in Sport 4. Social Media Marketing and Network Analysis in Sport 5. Sport Companies using Analytics and Statistics 6. Relationship between Support for Sports Policy and Political Ideology in the Host Community's Perception of the Impacts of a Major Sporting Event 7. What is a Sports Club in the 21st Century? Social Enterprise and Social Entrepreneurship 8. Identification of Weight Control Behaviors in Members of Polish Amateur Sports Clubs for Gender and Sexual Minorities 9. The Effects of Turkish Football Federation's Penalties Upon The Sportive Success Of Super League Teams: Ordered Logit Regression Analysis 10. Corporate Social Responsibility in the Field of Sports Marketing: A Study applied to SC Braga 11. Deal's Completed? An Exploratory Case Study about the Role of Players' Agents in the Football Industry 12. The Experience, Perception and Meanings Attributed to Latin Dances: A Business Analytics Approach 13. Statistical Analysis of Outdoor Adventure Facilitation Efficacy in Kenya 14. The Future of Sport Data Analytics
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