Handbook of Statistical Methods and Analyses in Sports (eBook, PDF)
Redaktion: Albert, Jim; Koning, Ruud H.; Swartz, Tim B.; Glickman, Mark E.
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Handbook of Statistical Methods and Analyses in Sports (eBook, PDF)
Redaktion: Albert, Jim; Koning, Ruud H.; Swartz, Tim B.; Glickman, Mark E.
- Format: PDF
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This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook will be organized by major sport (baseball, football, hockey, basketball, and soccer) followed by a section on other sports and general statistical design and analysis issues that are common to all sports. This handbook has the potential to become the standard reference for obtaining the necessary background to conduct serious statistical analyses for sports applications and to appreciate scholarly work in this expanding area.…mehr
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- Größe: 27.2MB
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Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 520
- Erscheinungstermin: 3. Februar 2017
- Englisch
- ISBN-13: 9781498737371
- Artikelnr.: 48568424
- Verlag: Taylor & Francis
- Seitenzahl: 520
- Erscheinungstermin: 3. Februar 2017
- Englisch
- ISBN-13: 9781498737371
- Artikelnr.: 48568424
minus systems for measuring player performance. Modeling and prediction of game results. Evaluating goaltenders. Statistical Issues in Soccer. Overview of statistical analysis in soccer. Measuring players
abilities. Measuring team abilities. Rating models to measure home advantage, team quality, and national team quality. Modeling game outcomes. Effectiveness of rough play (incidence of yellow/red cards, the effect of red cards and player expulsion). Statistical Issues in American Football. Overview of statistical analysis in American football. Measuring performance of quarterbacks and kickers. Predicting career success of players. Optimal strategies in kickoffs and 4th downs. In
game win probabilities and prediction of game results. Statistical Issues in Other Sports. Cricket: modeling individual performance. Golf: using ShotLink data to develop better measures of performance, fairness of various competitions. Olympics: determining the best Olympic performances and measuring the gender gap in performance improvement, development of records. Tennis: relation of player performance and ranking. Common Statistical Issues in Many Sports. Designing conference and playoff schedules in professional sports leagues. Developing better systems for ranking players in golf and tennis. Statistical considerations for constructing round-robin and double
elimination. Aging effects in sports. Effects of coach dismissal in different sports. Betting markets and information of those markets related to outcomes in different sports.
minus systems for measuring player performance. Modeling and prediction of game results. Evaluating goaltenders. Statistical Issues in Soccer. Overview of statistical analysis in soccer. Measuring players
abilities. Measuring team abilities. Rating models to measure home advantage, team quality, and national team quality. Modeling game outcomes. Effectiveness of rough play (incidence of yellow/red cards, the effect of red cards and player expulsion). Statistical Issues in American Football. Overview of statistical analysis in American football. Measuring performance of quarterbacks and kickers. Predicting career success of players. Optimal strategies in kickoffs and 4th downs. In
game win probabilities and prediction of game results. Statistical Issues in Other Sports. Cricket: modeling individual performance. Golf: using ShotLink data to develop better measures of performance, fairness of various competitions. Olympics: determining the best Olympic performances and measuring the gender gap in performance improvement, development of records. Tennis: relation of player performance and ranking. Common Statistical Issues in Many Sports. Designing conference and playoff schedules in professional sports leagues. Developing better systems for ranking players in golf and tennis. Statistical considerations for constructing round-robin and double
elimination. Aging effects in sports. Effects of coach dismissal in different sports. Betting markets and information of those markets related to outcomes in different sports.