baseball hacks tips tools for analyzing and winning with statistics

Download Book Baseball Hacks Tips Tools For Analyzing And Winning With Statistics in PDF format. You can Read Online Baseball Hacks Tips Tools For Analyzing And Winning With Statistics here in PDF, EPUB, Mobi or Docx formats.

Baseball Hacks

Author : Joseph Adler
ISBN : 9781491949436
Genre : GAMES
File Size : 66. 63 MB
Format : PDF, Kindle
Download : 217
Read : 771

Get This Book


Baseball Hacks isn't your typical baseball book--it's a book about how to watch, research, and understand baseball. It's an instruction manual for the free baseball databases. It's a cookbook for baseball research. Every part of this book is designed to teach baseball fans how to do something. In short, it's a how-to book--one that will increase your enjoyment and knowledge of the game. So much of the way baseball is played today hinges upon interpreting statistical data. Players are acquired based on their performance in statistical categories that ownership deems most important. Managers make in-game decisions based not on instincts, but on probability - how a particular batter might fare against left-handedpitching, for instance. The goal of this unique book is to show fans all the baseball-related stuff that they can do for free (or close to free). Just as open source projects have made great software freely available, collaborative projects such as Retrosheet and Baseball DataBank have made great data freely available. You can use these data sources to research your favorite players, win your fantasy league, or appreciate the game of baseball even more than you do now. Baseball Hacks shows how easy it is to get data, process it, and use it to truly understand baseball. The book lists a number of sources for current and historical baseball data, and explains how to load it into a database for analysis. It then introduces several powerful statistical tools for understanding data and forecasting results. For the uninitiated baseball fan, author Joseph Adler walks readers through the core statistical categories for hitters (batting average, on-base percentage, etc.), pitchers (earned run average, strikeout-to-walk ratio, etc.), and fielders (putouts, errors, etc.). He then extrapolates upon these numbers to examine more advanced data groups like career averages, team stats, season-by-season comparisons, and more. Whether you're a mathematician, scientist, or season-ticket holder to your favorite team, Baseball Hacks is sure to have something for you. Advance praise for Baseball Hacks: "Baseball Hacks is the best book ever written for understanding and practicing baseball analytics. A must-read for baseball professionals and enthusiasts alike." -- Ari Kaplan, database consultant to the Montreal Expos, San Diego Padres, and Baltimore Orioles "The game was born in the 19th century, but the passion for its analysis continues to grow into the 21st. In Baseball Hacks, Joe Adler not only demonstrates thatthe latest data-mining technologies have useful application to the study of baseball statistics, he also teaches the reader how to do the analysis himself, arming the dedicated baseball fan with tools to take his understanding of the game to a higher level." -- Mark E. Johnson, Ph.D., Founder, SportMetrika, Inc. and Baseball Analyst for the 2004 St. Louis Cardinals

Analyzing Baseball Data With R

Author : Max Marchi
ISBN : 9781315360591
Genre : Mathematics
File Size : 74. 13 MB
Format : PDF, ePub, Docs
Download : 803
Read : 189

Get This Book


With its flexible capabilities and open-source platform, R has become a major tool for analyzing detailed, high-quality baseball data. Analyzing Baseball Data with R provides an introduction to R for sabermetricians, baseball enthusiasts, and students interested in exploring the rich sources of baseball data. It equips readers with the necessary skills and software tools to perform all of the analysis steps, from gathering the datasets and entering them in a convenient format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the traditional graphics functions in the base package and introduce more sophisticated graphical displays available through the lattice and ggplot2 packages. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and fielding measures. Each chapter contains exercises that encourage readers to perform their own analyses using R. All of the datasets and R code used in the text are available online. This book helps readers answer questions about baseball teams, players, and strategy using large, publically available datasets. It offers detailed instructions on downloading the datasets and putting them into formats that simplify data exploration and analysis. Through the book’s various examples, readers will learn about modern sabermetrics and be able to conduct their own baseball analyses.

Analyzing Baseball Data With R

Author : Max Marchi
ISBN : 9781315360591
Genre : Mathematics
File Size : 41. 82 MB
Format : PDF, Mobi
Download : 380
Read : 926

Get This Book


With its flexible capabilities and open-source platform, R has become a major tool for analyzing detailed, high-quality baseball data. Analyzing Baseball Data with R provides an introduction to R for sabermetricians, baseball enthusiasts, and students interested in exploring the rich sources of baseball data. It equips readers with the necessary skills and software tools to perform all of the analysis steps, from gathering the datasets and entering them in a convenient format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the traditional graphics functions in the base package and introduce more sophisticated graphical displays available through the lattice and ggplot2 packages. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and fielding measures. Each chapter contains exercises that encourage readers to perform their own analyses using R. All of the datasets and R code used in the text are available online. This book helps readers answer questions about baseball teams, players, and strategy using large, publically available datasets. It offers detailed instructions on downloading the datasets and putting them into formats that simplify data exploration and analysis. Through the book’s various examples, readers will learn about modern sabermetrics and be able to conduct their own baseball analyses.

Left Brain Right Stuff

Author : Phil Rosenzweig
ISBN : 9781610393072
Genre : Business & Economics
File Size : 30. 13 MB
Format : PDF, Mobi
Download : 317
Read : 189

Get This Book


Left Brain, Right Stuff takes up where other books about decision making leave off. For many routine choices, from shopping to investing, we can make good decisions simply by avoiding common errors, such as searching only for confirming information or avoiding the hindsight bias. But as Phil Rosenzweig shows, for many of the most important, more complex situations we face—in business, sports, politics, and more—a different way of thinking is required. Leaders must possess the ability to shape opinions, inspire followers, manage risk, and outmaneuver and outperform rivals. Making winning decisions calls for a combination of skills: clear analysis and calculation—left brain—as well as the willingness to push boundaries and take bold action—right stuff. Of course leaders need to understand the dynamics of competition, to anticipate rival moves, to draw on the power of statistical analysis, and to be aware of common decision errors—all features of left brain thinking. But to achieve the unprecedented in real-world situations, much more is needed. Leaders also need the right stuff. In business, they have to devise plans and inspire followers for successful execution; in politics, they must mobilize popular support for a chosen program; in the military, commanders need to commit to a battle strategy and lead their troops; and in start-ups, entrepreneurs must manage risk when success is uncertain. In every case, success calls for action as well as analysis, and for courage as well as calculation. Always entertaining, often surprising, and immensely practical, Left Brain, Right Stuff draws on a wealth of examples in order to propose a new paradigm for decision making in synch with the way we have to operate in the real world. Rosenzweig’s smart and perceptive analysis of research provides fresh, and often surprising, insights on topics such as confidence and overconfidence, the uses and limits of decision models, the illusion of control, expert performance and deliberate practice, competitive bidding and new venture management, and the true nature of leadership.

Statistics In A Nutshell

Author : Sarah Boslaugh
ISBN : 9781449316822
Genre : Mathematics
File Size : 21. 8 MB
Format : PDF, ePub, Docs
Download : 494
Read : 200

Get This Book


A clear and concise introduction and reference for anyone new to the subject of statistics.

Practicing Sabermetrics

Author : Gabriel B. Costa,
ISBN : 9780786454464
Genre : Sports & Recreation
File Size : 60. 34 MB
Format : PDF
Download : 860
Read : 1126

Get This Book


The past 30 years have seen an explosion in the number and variety of baseball books and articles. Following the lead of pioneers Bill James, John Thorn, and Pete Palmer, researchers have steadily challenged the ways we think about player and team performance—and along the way revised what we thought we knew of baseball history. This book by the authors of Understanding Sabermetrics (2008) goes beyond the explanation of new statistics to demonstrate their use in solving some of the more familiar problems of baseball research, such as how to compare players across generations; how to account for the effects of ballparks and rules changes; and how to measure the effectiveness of the sacrifice bunt or the range of the Gold Glove–winning shortstop. Instructors considering this book for use in a course may request an examination copy here.

Sports Data Mining

Author : Robert P. Schumaker
ISBN : 1441967303
Genre : Computers
File Size : 59. 63 MB
Format : PDF, ePub, Mobi
Download : 199
Read : 248

Get This Book


Data mining is the process of extracting hidden patterns from data, and it’s commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis’ best-selling Moneyball: The Art of Winning An Unfair Game, it is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detail until now. Sports Data Mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, greyhound racing are all covered, and the authors (including Hsinchun Chen, one of the most esteemed and well-known experts in data mining in the world) present the latest research, developments, software available, and applications for each sport. They even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis.

The Extra 2

Author : Jonah Keri
ISBN : 9780345517654
Genre : Sports & Recreation
File Size : 41. 13 MB
Format : PDF, Docs
Download : 458
Read : 172

Get This Book


A case study of effective business practices demonstrated by a champion sports organization traces the Tampa Bay Devil Rays takeover by two former Goldman Sachs partners and the subsequent rebranding and executive strategies that rendered the team a model franchise.

Learning Regression Analysis By Simulation

Author : Kunio Takezawa
ISBN : 9784431543213
Genre : Mathematics
File Size : 76. 84 MB
Format : PDF, Kindle
Download : 477
Read : 1207

Get This Book


The standard approach of most introductory books for practical statistics is that readers first learn the minimum mathematical basics of statistics and rudimentary concepts of statistical methodology. They then are given examples of analyses of data obtained from natural and social phenomena so that they can grasp practical definitions of statistical methods. Finally they go on to acquaint themselves with statistical software for the PC and analyze similar data to expand and deepen their understanding of statistical methods. This book, however, takes a slightly different approach, using simulation data instead of actual data to illustrate the functions of statistical methods. Also, R programs listed in the book help readers realize clearly how these methods work to bring intrinsic values of data to the surface. R is free software enabling users to handle vectors, matrices, data frames, and so on. For example, when a statistical theory indicates that an event happens with a 5 % probability, readers can confirm the fact using R programs that this event actually occurs with roughly that probability, by handling data generated by pseudo-random numbers. Simulation gives readers populations with known backgrounds and the nature of the population can be adjusted easily. This feature of the simulation data helps provide a clear picture of statistical methods painlessly. Most readers of introductory books of statistics for practical purposes do not like complex mathematical formulae, but they do not mind using a PC to produce various numbers and graphs by handling a huge variety of numbers. If they know the characteristics of these numbers beforehand, they treat them with ease. Struggling with actual data should come later. Conventional books on this topic frighten readers by presenting unidentified data to them indiscriminately. This book provides a new path to statistical concepts and practical skills in a readily accessible manner.

Statistics Hacks

Author : Bruce Frey
ISBN : 0596553994
Genre : Mathematics
File Size : 36. 79 MB
Format : PDF, ePub
Download : 408
Read : 582

Get This Book


Want to calculate the probability that an event will happen? Be able to spot fake data? Prove beyond doubt whether one thing causes another? Or learn to be a better gambler? You can do that and much more with 75 practical and fun hacks packed into Statistics Hacks. These cool tips, tricks, and mind-boggling solutions from the world of statistics, measurement, and research methods will not only amaze and entertain you, but will give you an advantage in several real-world situations-including business. This book is ideal for anyone who likes puzzles, brainteasers, games, gambling, magic tricks, and those who want to apply math and science to everyday circumstances. Several hacks in the first chapter alone-such as the "central limit theorem,", which allows you to know everything by knowing just a little-serve as sound approaches for marketing and other business objectives. Using the tools of inferential statistics, you can understand the way probability works, discover relationships, predict events with uncanny accuracy, and even make a little money with a well-placed wager here and there. Statistics Hacks presents useful techniques from statistics, educational and psychological measurement, and experimental research to help you solve a variety of problems in business, games, and life. You'll learn how to: Play smart when you play Texas Hold 'Em, blackjack, roulette, dice games, or even the lottery Design your own winnable bar bets to make money and amaze your friends Predict the outcomes of baseball games, know when to "go for two" in football, and anticipate the winners of other sporting events with surprising accuracy Demystify amazing coincidences and distinguish the truly random from the only seemingly random--even keep your iPod's "random" shuffle honest Spot fraudulent data, detect plagiarism, and break codes How to isolate the effects of observation on the thing observed Whether you're a statistics enthusiast who does calculations in your sleep or a civilian who is entertained by clever solutions to interesting problems, Statistics Hacks has tools to give you an edge over the world's slim odds.

Top Download:

Best Books