Curveball: Baseball, Statistics, and the Role of Chance in the Game

Curveball: Baseball, Statistics, and the Role of Chance in the Game❰Read❯ ➳ Curveball: Baseball, Statistics, and the Role of Chance in the Game Author Jim Albert – Heartforum.co.uk A 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 this book A look at baseball data from a Statistics, and Kindle ´ 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 this book Curveball: Baseball, Kindle - addresses a number of questions that are of interest to many baseball fans These include how to rate players, predict the outcome of a game or the attainment of an achievement, making sense of situational Baseball, Statistics, and PDF ✓ data, and deciding the most valuable players in the World Series Aimed at a general audience, the text does not assume any prior background in probability or statistics, although a knowledge of high school abgebra will be helpful.

Jim Albert is a Distinguished University Professor Statistics, and Kindle ´ of Statistics at Bowling Green State University His research interests include Bayesian modeling and applications of statistical thinking in sports He has authored or coauthored several books Curveball: Baseball, Kindle - including Ordinal Data Modeling, Bayesian Computation with R, and Workshop Statistics Discovery with Data, A Bayesian Approach.

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  • Paperback
  • 350 pages
  • Curveball: Baseball, Statistics, and the Role of Chance in the Game
  • Jim Albert
  • English
  • 09 April 2017
  • 038700193X

10 thoughts on “Curveball: Baseball, Statistics, and the Role of Chance in the Game

  1. Jimmy Tarlau says:

    I like statistics and I like baseball and know something about both subjects but this book is a stretch for most people who are not really into statistics The topics are interesting does the best team really win, what is a streaky hitter, are there such things as clutch hitters, and which playeres are the most important for the team I m not sure I learned a lot except to understand about how baseball stasticians work on the subject A lot of what you learn is that the random chance is that pr I like statistics and I like baseball and know something about both subjects but this book is a stretch for most people who are not really into statistics The topics are interesting does the best team really win, what is a streaky hitter, are there such things as clutch hitters, and which playeres are the most important for the team I m not sure I learned a lot except to understand about how baseball stasticians work on the subject A lot of what you learn is that the random chance is that probably the best team won t win a world series One strange chapter had to do with Sammy Sosa and his probability of hitting a home run and how many home runs he would hit in the future based on what he has done in the past..oh oh maybe the probability had to do with steroids Interesting but not for everyone

  2. Tim Basuino says:

    Not for the faint of heart, Curve Ball looks at baseball from a probability calculating standpoint One of its best points is that what may be interpreted as an increase decrease in skills may in fact be random fluctuation, a.k.a Noise This could almost be a college textbook and it certainly would have been a lotinteresting than some of the material I had to work with way back when.

  3. Dave says:

    Doesn t really add anything to the statistical body of knowledge about baseball The only redeeming feature is a discussion of tabletop baseball games and their use of probability and relative realism.

  4. Chris Aldrich says:

    The original textbook for sabremetrics.

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