Statistical Modelling and Sports Business Analytics

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advanced sports analytics techniques
Amateur Sports Clubs
Anabolic Androgenic Steroids
Bariatric Surgery
Big Data
bivariate relationships
Body Weight Management
Business Ecosystems
Business Intelligence
business intelligence sport
Category=KJC
Category=KJMB
Category=KJMV2
Category=PBT
Category=SCG
Computer - Assisted Web Interviewing
Data science
distribution statistics
Distributive statistics
Endogeneity
Endogenous Predictor
entrepreneurship in sport
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eq_business-finance-law
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eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_sports-fitness
Latin Dances
Non-profit Sports Organisations
OAE
Outdoor Adventure Programs
Outdoor Instructors
Predictive analytics
predictive modelling
Predictive models
quantitative research methods
Referee Errors
Sexual Minority Individuals
Slim Body
Social Entrepreneurship
social network analytics
Sport Industry
Sports Analytics
Sports Business Analytics
sports data analysis
Sports Policy
statistical modelling
Voluntary Consent Form
Weight Loss Medication
Weight Loss Supplements

Product details

  • ISBN 9780367426927
  • Weight: 510g
  • Dimensions: 156 x 234mm
  • Publication Date: 20 May 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

Vanessa Ratten is Associate Professor at La Trobe University, Melbourne, Australia.

Ted Hayduk is Assistant Professor at New York University, USA.