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  • 1
    UID:
    almahu_9947362876202882
    Format: XVIII, 350 p. , online resource.
    ISBN: 9780387215129
    Content: In its formative years, from the 1970s through the 1990s, sabermetrics was p- marily an amateur undertaking. Publications were aimed at a relatively small audience of baseball fans. To be sure, this ever-growing group of aficionados brought a lot of sophistication to baseball analysis, and were constantly looking for statistical insights beyond the listings of the top ten batters found in popular newspapers and magazines. But their influence on the baseball profession was very limited. A few consultants like Craig Wright developed temporary relati- ships with various teams, but none were able to stay long enough to create a p- manent sabermetrician staff position. (See Rob Neyer’s November 11, 2002, arti- 1 cle on ESPN. com. ) All of this changed, however, in 2002 with the hiring of Bill James by the Boston Red Sox. With that move, we have seen the admittance of the foremost proponent of sabermetrics into the top echelon of professional ba- ball management. The art and science of careful statistical analysis, it now seems, had made it into the big leagues. Since the publication of the first edition of Curve Ball in 2001, we have been overwhelmed by the positive responses from readers and critics. We’re pleased with the reception, of course, but we don’t want to rest on our laurels. Like a pitcher refining his repertoire, we’ve revised, expanded, and updated the book for its publication in this paperback edition. Several readers and critics took us 1 http://espn. go. com/mlb/columns/neyer_rob/1456664.
    Note: Simple Models from Tabletop Baseball Games -- Exploring Baseball Data -- Introducing Probability -- Situational Effects -- Streakiness (or, The Hot Hand) -- Measuring Offensive Performance -- Average Runs per Play -- The Curvature of Baseball -- Making Sense of Baseball Strategy -- Measuring Clutch Play -- Prediction -- Did the Best Team Win? -- Postgame Comments (A Brief Afterword).
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9780387001937
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    b3kat_BV042418901
    Format: 1 Online-Ressource (XVIII, 350 p)
    ISBN: 9780387215129 , 9780387001937
    Note: In its formative years, from the 1970s through the 1990s, sabermetrics was p- marily an amateur undertaking. Publications were aimed at a relatively small audience of baseball fans. To be sure, this ever-growing group of aficionados brought a lot of sophistication to baseball analysis, and were constantly looking for statistical insights beyond the listings of the top ten batters found in popular newspapers and magazines. But their influence on the baseball profession was very limited. A few consultants like Craig Wright developed temporary relati- ships with various teams, but none were able to stay long enough to create a p- manent sabermetrician staff position. (See Rob Neyer's November 11, 2002, arti- 1 cle on ESPN. com. ) All of this changed, however, in 2002 with the hiring of Bill James by the Boston Red Sox. With that move, we have seen the admittance of the foremost proponent of sabermetrics into the top echelon of professional ba- ball management. The art and science of careful statistical analysis, it now seems, had made it into the big leagues. Since the publication of the first edition of Curve Ball in 2001, we have been overwhelmed by the positive responses from readers and critics. We're pleased with the reception, of course, but we don't want to rest on our laurels. Like a pitcher refining his repertoire, we've revised, expanded, and updated the book for its publication in this paperback edition. Several readers and critics took us 1 http://espn. go. com/mlb/columns/neyer_rob/1456664
    Language: English
    Keywords: Baseball ; Statistisches Modell
    Author information: Albert, Jim 1953-
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    New York, NY : Springer
    UID:
    gbv_744917565
    Format: Online-Ressource (XVIII, 350 p) , digital
    Edition: Springer eBook Collection. Humanities, Social Sciences and Law
    ISBN: 9780387215129
    Content: The intent of this book is to look at baseball data from a statistical modeling perspective. There is a fascination among baseball fans and the media to collect data on every imaginable event during a baseball game and to use these data to try to understand characteristics of the game. The problem is that patterns in baseball data are difficult to detect due to the inherent chance variation that is present. This book addresses a number of questions that are of interest to many baseball fans. These issues include how to rate players, predict the outcome of a game or the attainment of an attainment, making sense of situational data, and deciding the most valuable players in the World Series. This book will be directed to a general audience and does not assume that the reader has any prior background in probability or statistics, although knowledge of high school algebra will be helpful
    Additional Edition: ISBN 9780387001937
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780387001937
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780387988160
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781475781168
    Language: English
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
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