Statistical thinking in sports

書誌事項

Statistical thinking in sports

edited by Jim Albert and Ruud H. Koning

Chapman & Hall/CRC, c2008

  • : hard

大学図書館所蔵 件 / 19

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注記

Includes bibliographical references (p. 277-289) and index

収録内容

  • Introduction / Jim Albert and Ruud H. Koning
  • Modelling the development of world records in running / Gerard H. Kuper and Elmer Sterken
  • The physics and evolution of Olympic winning performances / Ray Stefani
  • Competitive balance in national European soccer competitions / Marco Haan, Ruud H. Koning, and Arjen van Witteloostuijn
  • Statistical analysis of the effectiveness of the FIFA world rankings / Ian McHale and Stephen Davies
  • Forecasting scores and results and testing the efficiency of the fixed-odds betting market in Scottish league football / Stephen Dobson and John Goddard
  • Hitting in the pinch / Jim Albert
  • Does momentum exist in a baseball game ? / Rebecca J. Sela and Jeffrey S. Simonoff
  • Inference about batter-pitcher matchups in baseball from small samples / Hal S. Stern and Adam Sugano
  • Outcome uncertainty measures : how closely do they predict a close game? / Babatunde Buraimo, David Forrest, and Robert Simmons
  • The impact of post-season play-off systems on the attendance at regular season games / Chris Bojke
  • Measurement and interpretation of home advantage / Ray Stefani
  • Myths in tennis / Jan Magnus and Franc Klassen
  • Back to back evaluations on the gridiron / David J. Berri
  • Optimal drafting in hockey pools / Amy E. Summers, Tim B. Swartz, and Richard A. Lockhart

内容説明・目次

内容説明

Since the first athletic events found a fan base, sports and statistics have always maintained a tight and at times mythical relationship. As a way to relay the telling of a game's drama and attest to the prodigious powers of the heroes involved, those reporting on the games tallied up the numbers that they believe best described the action and best defined the winning edge. However, they may not have always counted the right numbers. Many of our hallowed beliefs about sports statistics have long been fraught with misnomers. Whether it concerns Scottish football or American baseball, the most revered statistics often have little to do with any winning edge. Covering an international collection of sports, Statistical Thinking in Sports provides an accessible survey of current research in statistics and sports, written by experts from a variety of arenas. Rather than rely on casual observation, they apply the rigorous tools of statistics to re-examine many of those concepts that have gone from belief to fact, based mostly on the repetition of their claims. Leaving assumption behind, these researchers take on a host of tough questions- Is a tennis player only as good as his or her first serve? Is there such a thing as home field advantage? Do concerns over a decline in soccer's competitive balance have any merit? What of momentum-is its staying power any greater than yesterday's win? And what of pressure performers? Are there such creatures or ultimately, does every performer fall back to his or her established normative? Investigating a wide range of international team and individual sports, the book considers the ability to make predictions, define trends, and measure any number of influences. It is full of interesting and useful examples for those teaching introductory statistics. Although the articles are aimed at general readers, the serious researcher in sports statistics will also find t

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