Curve Ball: Baseball, Statistics, and the Role of Chance in the Game
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2001
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 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 |
| Beschreibung: | 1 Online-Ressource (XVIII, 350 p) |
| ISBN: | 9780387215129 9780387001937 |
| DOI: | 10.1007/b97222 |
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| 500 | |a 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 | ||
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| discipline | Mathematik |
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| isbn | 9780387215129 9780387001937 |
| language | English |
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| spelling | Albert, Jim 1953- Verfasser (DE-588)133457834 aut Curve Ball Baseball, Statistics, and the Role of Chance in the Game edited by Jim Albert, Jay Bennett New York, NY Springer New York 2001 1 Online-Ressource (XVIII, 350 p) txt rdacontent c rdamedia cr rdacarrier 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 Science (General) Distribution (Probability theory) Statistics Popular Science Popular Science in Mathematics Sport Probability Theory and Stochastic Processes Popular Science, general Science, general Statistics, general Naturwissenschaft Statistik Baseball (DE-588)4144091-2 gnd rswk-swf Statistisches Modell (DE-588)4121722-6 gnd rswk-swf Baseball (DE-588)4144091-2 s Statistisches Modell (DE-588)4121722-6 s 1\p DE-604 Bennett, Jay Sonstige (DE-588)1203114540 oth https://doi.org/10.1007/b97222 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Albert, Jim 1953- Curve Ball Baseball, Statistics, and the Role of Chance in the Game Science (General) Distribution (Probability theory) Statistics Popular Science Popular Science in Mathematics Sport Probability Theory and Stochastic Processes Popular Science, general Science, general Statistics, general Naturwissenschaft Statistik Baseball (DE-588)4144091-2 gnd Statistisches Modell (DE-588)4121722-6 gnd |
| subject_GND | (DE-588)4144091-2 (DE-588)4121722-6 |
| title | Curve Ball Baseball, Statistics, and the Role of Chance in the Game |
| title_auth | Curve Ball Baseball, Statistics, and the Role of Chance in the Game |
| title_exact_search | Curve Ball Baseball, Statistics, and the Role of Chance in the Game |
| title_full | Curve Ball Baseball, Statistics, and the Role of Chance in the Game edited by Jim Albert, Jay Bennett |
| title_fullStr | Curve Ball Baseball, Statistics, and the Role of Chance in the Game edited by Jim Albert, Jay Bennett |
| title_full_unstemmed | Curve Ball Baseball, Statistics, and the Role of Chance in the Game edited by Jim Albert, Jay Bennett |
| title_short | Curve Ball |
| title_sort | curve ball baseball statistics and the role of chance in the game |
| title_sub | Baseball, Statistics, and the Role of Chance in the Game |
| topic | Science (General) Distribution (Probability theory) Statistics Popular Science Popular Science in Mathematics Sport Probability Theory and Stochastic Processes Popular Science, general Science, general Statistics, general Naturwissenschaft Statistik Baseball (DE-588)4144091-2 gnd Statistisches Modell (DE-588)4121722-6 gnd |
| topic_facet | Science (General) Distribution (Probability theory) Statistics Popular Science Popular Science in Mathematics Sport Probability Theory and Stochastic Processes Popular Science, general Science, general Statistics, general Naturwissenschaft Statistik Baseball Statistisches Modell |
| url | https://doi.org/10.1007/b97222 |
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