A Textbook on Sports Statistics
Author | : Dr. J.P. Verma |
Publisher | : |
Total Pages | : 0 |
Release | : 2007-11 |
Genre | : |
ISBN | : 9788178794143 |
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Author | : Dr. J.P. Verma |
Publisher | : |
Total Pages | : 0 |
Release | : 2007-11 |
Genre | : |
ISBN | : 9788178794143 |
Author | : Josh Tabor |
Publisher | : Macmillan |
Total Pages | : 709 |
Release | : 2011-12-23 |
Genre | : Juvenile Nonfiction |
ISBN | : 1429274379 |
Offering a unique and powerful way to introduce the principles of statistical reasoning, Statistical Reasoning in Sports features engaging examples and a student-friendly approach. Starting from the very first chapter, students are able to ask questions, collect and analyze data, and draw conclusions using randomization tests. Is it harder to shoot free throws with distractions? We explore this question by designing an experiment, collecting the data, and using a hands-on simulation to analyze results. Completely covering the Common Core Standards for Probability and Statistics, Statistical Reasoning in Sports is an accessible and fun way to learn about statistics!
Author | : John Newell |
Publisher | : Routledge |
Total Pages | : 522 |
Release | : 2014-12-05 |
Genre | : Sports & Recreation |
ISBN | : 1317904184 |
Statistics in Sport and Exercise Science assumes no prior knowledge of statistics and uses real-life case studies to introduce the importance of statistics in sport and exercise science. Statistical tests and techniques are described here in a friendly and easy-to-understand manner, giving you the confidence to analyses data and complete your own statistical studies.
Author | : Verma J. Prakash |
Publisher | : |
Total Pages | : 368 |
Release | : 2000 |
Genre | : Sports |
ISBN | : 9788187645030 |
Author | : Robert L. Kissell |
Publisher | : Academic Press |
Total Pages | : 352 |
Release | : 2017-04-06 |
Genre | : Mathematics |
ISBN | : 0128052937 |
Optimal Sports Math, Statistics, and Fantasy provides the sports community—students, professionals, and casual sports fans—with the essential mathematics and statistics required to objectively analyze sports teams, evaluate player performance, and predict game outcomes. These techniques can also be applied to fantasy sports competitions. Readers will learn how to: Accurately rank sports teams Compute winning probability Calculate expected victory margin Determine the set of factors that are most predictive of team and player performance Optimal Sports Math, Statistics, and Fantasy also illustrates modeling techniques that can be used to decode and demystify the mysterious computer ranking schemes that are often employed by post-season tournament selection committees in college and professional sports. These methods offer readers a verifiable and unbiased approach to evaluate and rank teams, and the proper statistical procedures to test and evaluate the accuracy of different models. Optimal Sports Math, Statistics, and Fantasy delivers a proven best-in-class quantitative modeling framework with numerous applications throughout the sports world. Statistical approaches to predict winning team, probabilities, and victory margin Procedures to evaluate the accuracy of different models Detailed analysis of how mathematics and statistics are used in a variety of different sports Advanced mathematical applications that can be applied to fantasy sports, player evaluation, salary negotiation, team selection, and Hall of Fame determination
Author | : J. Prakash Verma |
Publisher | : |
Total Pages | : 382 |
Release | : 2009 |
Genre | : Sports |
ISBN | : |
Author | : Peter O'Donoghue |
Publisher | : Routledge |
Total Pages | : 192 |
Release | : 2014-10-24 |
Genre | : Medical |
ISBN | : 1317810376 |
Making sense of sports performance data can be a challenging task but is nevertheless an essential part of performance analysis investigations. Focusing on techniques used in the analysis of sport performance, this book introduces the fundamental principles of data analysis, explores the most important tools used in data analysis, and offers guidance on the presentation of results. The book covers key topics such as: The purpose of data analysis, from statistical analysis to algorithmic processing Commercial packages for performance and data analysis, including Focus, Sportscode, Dartfish, Prozone, Excel, SPSS and Matlab Effective use of statistical procedures in sport performance analysis Analysing data from manual notation systems, player tracking systems and computerized match analysis systems Creating visually appealing ‘dashboard’ interfaces for presenting data Assessing reliability. The book includes worked examples from real sport, offering clear guidance to the reader and bringing the subject to life. This book is invaluable reading for any student, researcher or analyst working in sport performance or undertaking a sport-related research project or methods course
Author | : Robert P. Schumaker |
Publisher | : Springer Science & Business Media |
Total Pages | : 144 |
Release | : 2010-09-10 |
Genre | : Computers |
ISBN | : 1441967303 |
Data mining is the process of extracting hidden patterns from data, and it’s commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis’ best-selling Moneyball: The Art of Winning An Unfair Game, it is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detail until now. Sports Data Mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, greyhound racing are all covered, and the authors (including Hsinchun Chen, one of the most esteemed and well-known experts in data mining in the world) present the latest research, developments, software available, and applications for each sport. They even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis.
Author | : Thomas W. Miller |
Publisher | : FT Press |
Total Pages | : 576 |
Release | : 2015-11-18 |
Genre | : Business & Economics |
ISBN | : 0133887413 |
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. This up-to-the-minute reference will help you master all three facets of sports analytics — and use it to win! Sports Analytics and Data Science is the most accessible and practical guide to sports analytics for everyone who cares about winning and everyone who is interested in data science. You’ll discover how successful sports analytics blends business and sports savvy, modern information technology, and sophisticated modeling techniques. You’ll master the discipline through realistic sports vignettes and intuitive data visualizations–not complex math. Every chapter focuses on one key sports analytics application. Miller guides you through assessing players and teams, predicting scores and making game-day decisions, crafting brands and marketing messages, increasing revenue and profitability, and much more. Step by step, you’ll learn how analysts transform raw data and analytical models into wins: both on the field and in any sports business.