. . . a smart and energetic collection of essays on baseball statistics. Curve Ball doesn't play misty-eyed homage to baseball's traditions and conventional wisdoms. . . . This is great stuff. . . . Curve Ball makes clear how pleasurable [stats] can be, and arguably how important, to view the great American game with real precision" - The Wall Street Journal "Rating: 4.5 out of 5. Must own" - Baseballnotebook.com "In [Curve Ball] Albert & Bennett explain the game in ways the conventional press - even titans such as Bill James - cannot" - Baseball America [The book] illustrates how statistical reasoning can be useful in teasing out the role of chance from performance in baseball to better assess ability. . . . Curve Ball represents another advance in the genre of baseball and statistics books" - Journal of the American Statistical Association 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. But 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 - including how to rate players, predict the outcome of a game or the attainment of an attainment, make sense of situational data, and decide the most valuable players in the World Series. Curve Ball is 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.
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Maria Rizzo is professor of statistics at Bowling Green State University. Her recent book publications include Statistical Computing with R, 2e (2019) and Energy Statistics (forthcoming). Jim Albert is professor of mathematics and statistics at Bowling Green State University. His recent book publications include Analyzing Baseball Data with R, 2e (with Max Marchi and Benjamin S. Baumer, 2018), Visualizing Baseball (2017), and Bayesian Computation with R (Springer 2009).
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Anbieter: BooksRun, Philadelphia, PA, USA
Paperback. Zustand: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Softcover reprint of the original 1st ed. 2001. Artikel-Nr. 038700193X-11-1
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Anbieter: Better World Books, Mishawaka, IN, USA
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Anbieter: Better World Books, Mishawaka, IN, USA
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Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
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Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
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